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{{Short description|Fields of scientific study}} |
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'''Hard science''' and '''soft science''' are [[colloquialism|colloquial]] terms used to compare [[scientific field]]s on the basis of perceived [[Scientific method|methodological rigor]], exactitude, and objectivity.<ref name="Nature 2005">{{Cite journal | doi = 10.1038/4351003a | title = In praise of soft science | journal = Nature | volume = 435 | issue = 7045 | pages = 1003–2005 | year = 2005 | pmid = 15973363| doi-access = free }}</ref><ref name="Wilson 2012">{{cite news|last=Wilson|first=Timothy D.|title='Soft' sciences don't deserve the snobbery|url=http://articles.latimes.com/2012/jul/12/opinion/la-oe-wilson-social-sciences-20120712|access-date=19 December 2012|newspaper=Los Angeles Times|date=12 July 2012}}</ref><ref name="Frost nd">{{Cite web| url=http://www.columbia.edu/cu/21stC/issue-1.1/soft.htm| access-date=10 August 2009| title=Soft science and hard news| publisher=[[Metanews]]| work=[[Columbia University]]| first=Pamela| last=Frost}}</ref> |
'''Hard science''' and '''soft science''' are [[colloquialism|colloquial]] terms used to compare [[scientific field]]s on the basis of perceived [[Scientific method|methodological rigor]], exactitude, and objectivity.<ref name="Nature 2005">{{Cite journal | doi = 10.1038/4351003a | title = In praise of soft science | journal = Nature | volume = 435 | issue = 7045 | pages = 1003–2005 | year = 2005 | pmid = 15973363| doi-access = free }}</ref><ref name="Wilson 2012">{{cite news|last=Wilson|first=Timothy D.|title='Soft' sciences don't deserve the snobbery|url=http://articles.latimes.com/2012/jul/12/opinion/la-oe-wilson-social-sciences-20120712|access-date=19 December 2012|newspaper=Los Angeles Times|date=12 July 2012}}</ref><ref name="Frost nd">{{Cite web| url=http://www.columbia.edu/cu/21stC/issue-1.1/soft.htm| access-date=10 August 2009| title=Soft science and hard news| publisher=[[Metanews]]| work=[[Columbia University]]| first=Pamela| last=Frost}}</ref> In general, the [[formal science]]s and [[natural science]]s are considered ''hard science'', whereas the [[social science]]s and other sciences are described as ''soft science''.<ref>{{cite web|url=https://www.thoughtco.com/hard-vs-soft-science-3975989|work=ThoughtCo.|title=What Is the Difference Between Hard and Soft Science? |date=November 29, 2019|last=Helmenstine|first=Anne Marie}}</ref> |
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Precise definitions vary,<ref name="Smith2000"/> but features often cited as characteristic of hard science include producing [[testable]] [[Prediction#Prediction in science|predictions]], performing [[Scientific control|controlled experiments]], relying on [[Quantification (science)|quantifiable]] data and [[mathematical model]]s, a high degree of accuracy and [[objectivity (science)|objectivity]], higher levels of consensus, faster progression of the field, greater explanatory success, cumulativeness, [[replicability]], and generally applying a purer form of the [[scientific method]].<ref name="Wilson 2012" /><ref name="Cole 1983">{{cite journal|last1=Cole|first1=Stephen|year=1983|title=The Hierarchy of the Sciences?|journal=American Journal of Sociology|volume=89|issue=1|pages=111–139|doi=10.1086/227835|jstor=2779049|citeseerx=10.1.1.1033.9702|s2cid=144920176}}</ref><ref name="Fanelli2010"/><ref>{{cite book|title=Scientific Uncertainty and Environmental Problem Solving|last=Lemons|first=John|publisher=Blackwell|year=1996|isbn=978-0865424760|page=99}}</ref><ref name="Rose 1997">{{cite book|chapter-url=https://www.nytimes.com/books/first/r/rose-lifelines.html|title=Lifelines: Biology Beyond Determinism|last=Rose|first=Steven|publisher=Oxford University Press|year=1997|isbn=9780195120356|location=Oxford|chapter=Chapter One|url-access=registration|url=https://archive.org/details/lifelinesbiology00rose_0}}</ref><ref name="Gutting 2012">{{cite news|url=https://opinionator.blogs.nytimes.com/2012/05/17/how-reliable-are-the-social-sciences/ |title=How Reliable Are the Social Sciences?|last=Gutting|first=Gary|author-link=Gary Gutting|date=17 May 2012|newspaper=The New York Times|access-date=19 December 2012}}</ref><ref name="Diamond 1987">{{Cite news|url=http://bama.ua.edu/~sprentic/607%20Diamond%201987.htm|title=Soft sciences are often harder than hard sciences|last=Diamond|first=Jared|date=August 1987|work=Discover|access-date=19 December 2012|archive-url=https://web.archive.org/web/20121213080212/http://bama.ua.edu/~sprentic/607%20Diamond%201987.htm|archive-date=13 December 2012}}</ref><ref>{{Cite journal|last=Hedges|first=Larry|date=1987-05-01|title=How hard is hard science, how soft is soft science? The empirical cumulativeness of research|url=https://www.researchgate.net/publication/232467869|journal=American Psychologist|volume=42|issue=5|pages=443–455|doi=10.1037/0003-066X.42.5.443|citeseerx=10.1.1.408.2317}}</ref> A closely related idea (originating in the nineteenth century with [[Auguste Comte]]) is that scientific disciplines can be [[hierarchy of the sciences|arranged into a hierarchy]] of hard to soft on the basis of factors such as [[Rigour|rigor]], "development", and whether they are [[Basic Science|basic]] or [[Applied science|applied]].<ref name="Smith2000" /><ref name="Lodahl & Gordon 1972">{{cite journal|last1=Lodahl|first1=Janice Beyer|last2=Gordon|first2=Gerald|year=1972|title=The Structure of Scientific Fields and the Functioning of University Graduate Departments|journal=American Sociological Review|volume=37|issue=1|pages=57–72|doi=10.2307/2093493|jstor=2093493}}</ref> |
Precise definitions vary,<ref name="Smith2000"/> but features often cited as characteristic of hard science include producing [[testable]] [[Prediction#Prediction in science|predictions]], performing [[Scientific control|controlled experiments]], relying on [[Quantification (science)|quantifiable]] data and [[mathematical model]]s, a high degree of accuracy and [[objectivity (science)|objectivity]], higher levels of consensus, faster progression of the field, greater explanatory success, cumulativeness, [[replicability]], and generally applying a purer form of the [[scientific method]].<ref name="Wilson 2012" /><ref name="Cole 1983">{{cite journal|last1=Cole|first1=Stephen|year=1983|title=The Hierarchy of the Sciences?|journal=American Journal of Sociology|volume=89|issue=1|pages=111–139|doi=10.1086/227835|jstor=2779049|citeseerx=10.1.1.1033.9702|s2cid=144920176}}</ref><ref name="Fanelli2010"/><ref>{{cite book|title=Scientific Uncertainty and Environmental Problem Solving|last=Lemons|first=John|publisher=Blackwell|year=1996|isbn=978-0865424760|page=99}}</ref><ref name="Rose 1997">{{cite book|chapter-url=https://www.nytimes.com/books/first/r/rose-lifelines.html|title=Lifelines: Biology Beyond Determinism|last=Rose|first=Steven|publisher=Oxford University Press|year=1997|isbn=9780195120356|location=Oxford|chapter=Chapter One|url-access=registration|url=https://archive.org/details/lifelinesbiology00rose_0}}</ref><ref name="Gutting 2012">{{cite news|url=https://opinionator.blogs.nytimes.com/2012/05/17/how-reliable-are-the-social-sciences/ |title=How Reliable Are the Social Sciences?|last=Gutting|first=Gary|author-link=Gary Gutting|date=17 May 2012|newspaper=The New York Times|access-date=19 December 2012}}</ref><ref name="Diamond 1987">{{Cite news|url=http://bama.ua.edu/~sprentic/607%20Diamond%201987.htm|title=Soft sciences are often harder than hard sciences|last=Diamond|first=Jared|date=August 1987|work=Discover|access-date=19 December 2012|archive-url=https://web.archive.org/web/20121213080212/http://bama.ua.edu/~sprentic/607%20Diamond%201987.htm|archive-date=13 December 2012}}</ref><ref>{{Cite journal|last=Hedges|first=Larry|date=1987-05-01|title=How hard is hard science, how soft is soft science? The empirical cumulativeness of research|url=https://www.researchgate.net/publication/232467869|journal=American Psychologist|volume=42|issue=5|pages=443–455|doi=10.1037/0003-066X.42.5.443|citeseerx=10.1.1.408.2317}}</ref> A closely related idea (originating in the nineteenth century with [[Auguste Comte]]) is that scientific disciplines can be [[hierarchy of the sciences|arranged into a hierarchy]] of hard to soft on the basis of factors such as [[Rigour|rigor]], "development", and whether they are [[Basic Science|basic]] or [[Applied science|applied]].<ref name="Smith2000" /><ref name="Lodahl & Gordon 1972">{{cite journal|last1=Lodahl|first1=Janice Beyer|last2=Gordon|first2=Gerald|year=1972|title=The Structure of Scientific Fields and the Functioning of University Graduate Departments|journal=American Sociological Review|volume=37|issue=1|pages=57–72|doi=10.2307/2093493|jstor=2093493}}</ref> |
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[[Philosophy of science|Philosophers]] and [[History of science|historians of science]] have questioned the relationship between these characteristics and perceived hardness or softness. The more "developed" hard sciences do not necessarily have a greater degree of [[scientific consensus|consensus]] or selectivity in accepting new results.<ref name="Cole 1983" /> Commonly cited methodological differences are also not a reliable indicator. For example, social sciences such as psychology and sociology use mathematical models extensively, but are usually considered soft sciences.<ref name="Nature 2005" /><ref name="Wilson 2012" /> However, there are some measurable differences between hard and soft sciences. For example, hard sciences make [[Graphism thesis|more extensive use of graphs]],<ref name="Smith2000"/><ref>{{cite book|title=Representation in scientific practice|last=Latour|first=B.|publisher=MIT Press|year=1990|editor=M. Lynch|location=Cambridge, MA|pages=19–68|chapter=Drawing things together|editor2=S. Woolgar}}</ref> and soft sciences are more prone to a rapid turnover of [[buzzwords]].<ref name="Bentley 2008">{{Cite journal|last1=Bentley|first1=R. A.|year=2008|editor1-last=Allen|editor1-first=Colin|title=Random Drift versus Selection in Academic Vocabulary: An Evolutionary Analysis of Published Keywords|journal=PLOS ONE|volume=3|issue=8|pages=e3057|doi=10.1371/journal.pone.0003057|pmc=2518107|pmid=18728786}}</ref> |
[[Philosophy of science|Philosophers]] and [[History of science|historians of science]] have questioned the relationship between these characteristics and perceived hardness or softness. The more "developed" hard sciences do not necessarily have a greater degree of [[scientific consensus|consensus]] or selectivity in accepting new results.<ref name="Cole 1983" /> Commonly cited methodological differences are also not a reliable indicator. For example, social sciences such as psychology and sociology use mathematical models extensively, but are usually considered soft sciences.<ref name="Nature 2005" /><ref name="Wilson 2012" /> However, there are some measurable differences between hard and soft sciences. For example, hard sciences make [[Graphism thesis|more extensive use of graphs]],<ref name="Smith2000"/><ref>{{cite book|title=Representation in scientific practice|last=Latour|first=B.|publisher=MIT Press|year=1990|editor=M. Lynch|location=Cambridge, MA|pages=19–68|chapter=Drawing things together|editor2=S. Woolgar}}</ref> and soft sciences are more prone to a rapid turnover of [[buzzwords]].<ref name="Bentley 2008">{{Cite journal|last1=Bentley|first1=R. A.|year=2008|editor1-last=Allen|editor1-first=Colin|title=Random Drift versus Selection in Academic Vocabulary: An Evolutionary Analysis of Published Keywords|journal=PLOS ONE|volume=3|issue=8|pages=e3057|doi=10.1371/journal.pone.0003057|pmc=2518107|pmid=18728786|arxiv=0807.1182|bibcode=2008PLoSO...3.3057B|doi-access=free}}</ref> |
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The metaphor has been criticised for unduly stigmatizing soft sciences, creating an unwarranted imbalance in the public perception, funding, and recognition of different fields.<ref name="Wilson 2012" /><ref name="Frost nd" /><ref name="Nature 2012" /> |
The metaphor has been criticised for unduly stigmatizing soft sciences, creating an unwarranted imbalance in the public perception, funding, and recognition of different fields.<ref name="Wilson 2012" /><ref name="Frost nd" /><ref name="Nature 2012" /> |
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==Empirical support== |
==Empirical support== |
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In the 1970s sociologist [[Stephen Cole (sociologist)|Stephen Cole]] conducted a number of empirical studies attempting to find evidence for a hierarchy of scientific disciplines, and was unable to find significant differences in terms of core of knowledge, degree of codification, or research material. Differences that he did find evidence for included a tendency for textbooks in soft sciences to rely on more recent work, while the material in textbooks from the hard sciences was more consistent over time.<ref name="Cole 1983"/> After he published in 1983, it has been suggested that Cole might have missed some relationships in the data because he studied individual measurements, without accounting for the way multiple measurements could trend in the same direction, and because not all the criteria that could indicate a discipline's scientific status were analysed.<ref name="Simonton 2004">{{cite journal| author=Simonton DK| title=Psychology's Status as a Scientific Discipline: Its Empirical Placement Within an Implicit Hierarchy of the Sciences. | journal=Review of General Psychology | year= 2004 | volume= 8 | issue= 1 | pages= 59–67 | doi=10.1037/1089-2680.8.1.59| s2cid=145134072 }}</ref> |
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In 1984, Cleveland performed a survey of 57 journals and found that natural science journals used many more graphs than journals in mathematics or social science, and that social science journals often presented large amounts of observational data in the absence of graphs. The amount of page area used for graphs ranged from 0% to 31%, and the variation was primarily due to the number of graphs included rather than their sizes.<ref name="Cleveland1984">{{cite journal| author=Cleveland WS| title=Graphs in Scientific Publications | journal=The American Statistician| year= 1984 | volume= 38 | issue= 4 | pages= 261–269 | doi=10.2307/2683400 | jstor= 2683400}}</ref> Further analyses by Smith in 2000,<ref name="Smith2000"/> based on samples of graphs from journals in seven major scientific disciplines, found that the amount of graph usage correlated "almost perfectly" with hardness (r=0.97). They also suggested that the hierarchy applies to individual fields, and demonstrated the same result using ten subfields of psychology (r=0.93).<ref name="Smith2000">{{cite journal|vauthors=Smith LD, Best LA, Stubbs A, Johnston J, Archibald AB |title=Scientific Graphs and the Hierarchy of the Sciences |journal=Social Studies of Science |year= 2000 |volume= 30 |issue= 1 |pages= 73–94 |doi= 10.1177/030631200030001003|s2cid=145685575 }}</ref> |
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In a 2010 article, Fanelli proposed that we expect more positive outcomes in "softer" sciences because there are fewer constraints on researcher bias. They found that among research papers that tested a hypothesis, the frequency of positive results was predicted by the perceived hardness of the field. For example, the social sciences as a whole had a 2.3-fold increased odds of positive results compared to the physical sciences, with the biological sciences in between. They added that this supported the idea that the social sciences and natural sciences differ only in degree, as long as the social sciences follow the scientific approach.<ref name="Fanelli2010">{{cite journal| author=Fanelli D| title="Positive" results increase down the Hierarchy of the Sciences. | journal=PLOS ONE | year= 2010 | volume= 5 | issue= 4 | pages= e10068 | doi=10.1371/journal.pone.0010068 | pmc=2850928 | pmid= 20383332| bibcode=2010PLoSO...510068F | doi-access=free }}</ref> |
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In 2013, Fanelli tested whether the ability of researchers in a field to "achieve consensus and accumulate knowledge" increases with the hardness of the science, and sampled 29,000 papers from 12 disciplines using measurements that indicate the degree of scholarly consensus. Out of the three possibilities (hierarchy, hard/soft distinction, or no ordering), the results supported a hierarchy, with physical sciences performing the best followed by biological sciences and then social sciences. The results also held within disciplines, as well as when mathematics and the humanities were included.<ref name="Fanelli2013">{{cite journal|vauthors=Fanelli D, Glänzel W | title=Bibliometric Evidence for a Hierarchy of the Sciences. | journal=PLOS ONE | year= 2013 | volume= 8 | issue= 6 | pages= e66938 | doi=10.1371/journal.pone.0066938 | pmc=3694152 | pmid= 23840557| bibcode=2013PLoSO...866938F | doi-access=free }}</ref> |
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==Criticism== |
==Criticism== |
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Critics of the concept argue that soft sciences are implicitly considered to be less "legitimate" scientific fields,<ref name="Wilson 2012" /> or simply not scientific at all.<ref>{{cite news|last=Berezow|first=Alex B.|title=Why psychology isn't science |url=http://www.latimes.com/news/opinion/opinion-la/la-ol-blowback-pscyhology-science-20120713,0,1641705.story |access-date=19 December 2012 |newspaper=Los Angeles Times|date=13 July 2012}}</ref> An editorial in ''[[Nature (journal)|Nature]]'' stated that social science findings are more likely to intersect with everyday experience and may be dismissed as "obvious or insignificant" as a result.<ref name="Nature 2012">{{Cite journal | doi = 10.1038/487271a | title = A different agenda | journal = Nature | volume = 487 | issue = 7407 | pages = 271 | year = 2012 | pmid = 22810654| doi-access = free }}</ref> Being labelled a soft science can affect the perceived value of a discipline to society and the amount of funding available to it.<ref name="Frost nd" /> In the 1980s, mathematician [[Serge Lang]] successfully blocked influential political scientist [[Samuel P. Huntington]]'s admission to the US [[National Academy of Sciences]], describing Huntington's use of mathematics to quantify the relationship between factors such as "social frustration" (Lang asked Huntington if he possessed a "social-frustration meter") as "[[pseudoscience]]".<ref name="Diamond 1987" /><ref>{{cite news | work = [[The New York Times]]| title = Science Academy Rejects Harvard Political Scientist | first = George | last = Johnson |author2=Laura Mansnerus | date = 3 May 1987 | access-date = 19 December 2012 | url = https://www.nytimes.com/1987/05/03/weekinreview/ideas-trends-science-academy-rejects-harvard-political-scientist.html}}</ref><ref>{{cite news | work = [[The New York Times]]| title = Serge Lang, 78, a Gadfly and Mathematical Theorist, Dies | first = Kenneth | last = Change |author2=Warren Leary | date = 25 September 2005 | access-date = 19 December 2012 | url = https://www.nytimes.com/2005/09/25/national/25lang.html}}</ref> During the [[Great Recession|late 2000s recessions]], social science was disproportionately targeted for funding cuts compared to mathematics and natural science.<ref>{{cite news|last=Richardson|first=Hannah|title=Humanities to lose English universities teaching grant|url=https://www.bbc.co.uk/news/education-11627843|access-date=19 December 2012|newspaper=BBC News|date=26 October 2010}}</ref><ref>{{cite news|last=Jump|first=Paul|title=Social science emulates scientific method to escape retrenchment |url=http://www.timeshighereducation.co.uk/story.asp?storyCode=414903§ioncode=26 |access-date=19 December 2012 |newspaper=Times Higher Education |date=20 January 2011}}</ref> Proposals were made for the United States' [[National Science Foundation]] to cease funding disciplines such as [[political science]] altogether.<ref name="Nature 2012" /><ref>{{cite news|last=Lane|first=Charles|title=Congress should cut funding for political science research |url=https://articles.washingtonpost.com/2012-06-04/opinions/35460327_1_political-science-national-science-foundation-nsf|access-date=19 December 2012|newspaper=The Washington Post|date=4 June 2012}}</ref> Both of these incidents prompted critical discussion of the distinction between hard and soft sciences.<ref name="Diamond 1987" /><ref name="Nature 2012" /> |
Critics of the concept argue that soft sciences are implicitly considered to be less "legitimate" scientific fields,<ref name="Wilson 2012" /> or simply not scientific at all.<ref>{{cite news|last=Berezow|first=Alex B.|title=Why psychology isn't science |url=http://www.latimes.com/news/opinion/opinion-la/la-ol-blowback-pscyhology-science-20120713,0,1641705.story |access-date=19 December 2012 |newspaper=Los Angeles Times|date=13 July 2012}}</ref> An editorial in ''[[Nature (journal)|Nature]]'' stated that social science findings are more likely to intersect with everyday experience and may be dismissed as "obvious or insignificant" as a result.<ref name="Nature 2012">{{Cite journal | doi = 10.1038/487271a | title = A different agenda | journal = Nature | volume = 487 | issue = 7407 | pages = 271 | year = 2012 | pmid = 22810654| bibcode = 2012Natur.487Q.271. | doi-access = free }}</ref> Being labelled a soft science can affect the perceived value of a discipline to society and the amount of funding available to it.<ref name="Frost nd" /> In the 1980s, mathematician [[Serge Lang]] successfully blocked influential political scientist [[Samuel P. Huntington]]'s admission to the US [[National Academy of Sciences]], describing Huntington's use of mathematics to quantify the relationship between factors such as "social frustration" (Lang asked Huntington if he possessed a "social-frustration meter") as "[[pseudoscience]]".<ref name="Diamond 1987" /><ref>{{cite news | work = [[The New York Times]]| title = Science Academy Rejects Harvard Political Scientist | first = George | last = Johnson |author2=Laura Mansnerus | date = 3 May 1987 | access-date = 19 December 2012 | url = https://www.nytimes.com/1987/05/03/weekinreview/ideas-trends-science-academy-rejects-harvard-political-scientist.html}}</ref><ref>{{cite news | work = [[The New York Times]]| title = Serge Lang, 78, a Gadfly and Mathematical Theorist, Dies | first = Kenneth | last = Change |author2=Warren Leary | date = 25 September 2005 | access-date = 19 December 2012 | url = https://www.nytimes.com/2005/09/25/national/25lang.html}}</ref> During the [[Great Recession|late 2000s recessions]], social science was disproportionately targeted for funding cuts compared to mathematics and natural science.<ref>{{cite news|last=Richardson|first=Hannah|title=Humanities to lose English universities teaching grant|url=https://www.bbc.co.uk/news/education-11627843|access-date=19 December 2012|newspaper=BBC News|date=26 October 2010}}</ref><ref>{{cite news|last=Jump|first=Paul|title=Social science emulates scientific method to escape retrenchment |url=http://www.timeshighereducation.co.uk/story.asp?storyCode=414903§ioncode=26 |access-date=19 December 2012 |newspaper=Times Higher Education |date=20 January 2011}}</ref> Proposals were made for the United States' [[National Science Foundation]] to cease funding disciplines such as [[political science]] altogether.<ref name="Nature 2012" /><ref>{{cite news|last=Lane|first=Charles|title=Congress should cut funding for political science research |url=https://articles.washingtonpost.com/2012-06-04/opinions/35460327_1_political-science-national-science-foundation-nsf|archive-url=https://web.archive.org/web/20131029220915/http://articles.washingtonpost.com/2012-06-04/opinions/35460327_1_political-science-national-science-foundation-nsf|url-status=dead|archive-date=29 October 2013|access-date=19 December 2012|newspaper=The Washington Post|date=4 June 2012}}</ref> Both of these incidents prompted critical discussion of the distinction between hard and soft sciences.<ref name="Diamond 1987" /><ref name="Nature 2012" /> |
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The perception of hard vs soft science is influenced by [[gender bias]] with a higher proportion of women in a given field leading to a "soft" perception even within STEM fields. This perception of softness is accompanied by a devaluation of the field's worth.<ref>{{cite web |last1=Light |first1=Alysson |title=More women in a STEM field leads people to label it as a 'soft science,' according to new research |url=https://theconversation.com/more-women-in-a-stem-field-leads-people-to-label-it-as-a-soft-science-according-to-new-research-173724 |website=theconversation.com |publisher=The Conversation |access-date=25 January 2022}}</ref> |
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==See also== |
==See also== |
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*[[Demarcation problem]] |
* [[Demarcation problem]] |
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*[[Exact sciences]] |
* [[Exact sciences]] |
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*[[ |
* [[Hard science fiction|Hard]] and [[soft science fiction]] |
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*[[ |
* [[History of science]] |
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* [[Methodological dualism]] |
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*[[Non-science]] |
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*[[Philosophy of social science]] |
* [[Non-science]] |
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* [[Philosophy of social science]] |
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*[[Positivism dispute]] |
* [[Positivism dispute]] |
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*[[STEM fields]] |
* [[STEM fields]] |
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== Notes == |
== Notes == |
Revision as of 08:09, 8 July 2024
Hard science and soft science are colloquial terms used to compare scientific fields on the basis of perceived methodological rigor, exactitude, and objectivity.[1][2][3] In general, the formal sciences and natural sciences are considered hard science, whereas the social sciences and other sciences are described as soft science.[4]
Precise definitions vary,[5] but features often cited as characteristic of hard science include producing testable predictions, performing controlled experiments, relying on quantifiable data and mathematical models, a high degree of accuracy and objectivity, higher levels of consensus, faster progression of the field, greater explanatory success, cumulativeness, replicability, and generally applying a purer form of the scientific method.[2][6][7][8][9][10][11][12] A closely related idea (originating in the nineteenth century with Auguste Comte) is that scientific disciplines can be arranged into a hierarchy of hard to soft on the basis of factors such as rigor, "development", and whether they are basic or applied.[5][13]
Philosophers and historians of science have questioned the relationship between these characteristics and perceived hardness or softness. The more "developed" hard sciences do not necessarily have a greater degree of consensus or selectivity in accepting new results.[6] Commonly cited methodological differences are also not a reliable indicator. For example, social sciences such as psychology and sociology use mathematical models extensively, but are usually considered soft sciences.[1][2] However, there are some measurable differences between hard and soft sciences. For example, hard sciences make more extensive use of graphs,[5][14] and soft sciences are more prone to a rapid turnover of buzzwords.[15]
The metaphor has been criticised for unduly stigmatizing soft sciences, creating an unwarranted imbalance in the public perception, funding, and recognition of different fields.[2][3][16]
History of the terms
The origin of the terms "hard science" and "soft science" is obscure. The earliest attested use of "hard science" is found in an 1858 issue of the Journal of the Society of Arts,[17][18] but the idea of a hierarchy of the sciences can be found earlier, in the work of the French philosopher Auguste Comte (1798‒1857). He identified astronomy as the most general science,[note 1] followed by physics, chemistry, biology, then sociology. This view was highly influential, and was intended to classify fields based on their degree of intellectual development and the complexity of their subject matter.[6]
The modern distinction between hard and soft science is often attributed to a 1964 article published in Science by John R. Platt. He explored why he considered some scientific fields to be more productive than others, though he did not actually use the terms themselves.[19][20] In 1967, sociologist of science Norman W. Storer specifically distinguished between the natural sciences as hard and the social sciences as soft. He defined hardness in terms of the degree to which a field uses mathematics and described a trend of scientific fields increasing in hardness over time, identifying features of increased hardness as including better integration and organization of knowledge, an improved ability to detect errors, and an increase in the difficulty of learning the subject.[6][21]
Empirical support
In the 1970s sociologist Stephen Cole conducted a number of empirical studies attempting to find evidence for a hierarchy of scientific disciplines, and was unable to find significant differences in terms of core of knowledge, degree of codification, or research material. Differences that he did find evidence for included a tendency for textbooks in soft sciences to rely on more recent work, while the material in textbooks from the hard sciences was more consistent over time.[6] After he published in 1983, it has been suggested that Cole might have missed some relationships in the data because he studied individual measurements, without accounting for the way multiple measurements could trend in the same direction, and because not all the criteria that could indicate a discipline's scientific status were analysed.[22]
In 1984, Cleveland performed a survey of 57 journals and found that natural science journals used many more graphs than journals in mathematics or social science, and that social science journals often presented large amounts of observational data in the absence of graphs. The amount of page area used for graphs ranged from 0% to 31%, and the variation was primarily due to the number of graphs included rather than their sizes.[23] Further analyses by Smith in 2000,[5] based on samples of graphs from journals in seven major scientific disciplines, found that the amount of graph usage correlated "almost perfectly" with hardness (r=0.97). They also suggested that the hierarchy applies to individual fields, and demonstrated the same result using ten subfields of psychology (r=0.93).[5]
In a 2010 article, Fanelli proposed that we expect more positive outcomes in "softer" sciences because there are fewer constraints on researcher bias. They found that among research papers that tested a hypothesis, the frequency of positive results was predicted by the perceived hardness of the field. For example, the social sciences as a whole had a 2.3-fold increased odds of positive results compared to the physical sciences, with the biological sciences in between. They added that this supported the idea that the social sciences and natural sciences differ only in degree, as long as the social sciences follow the scientific approach.[7]
In 2013, Fanelli tested whether the ability of researchers in a field to "achieve consensus and accumulate knowledge" increases with the hardness of the science, and sampled 29,000 papers from 12 disciplines using measurements that indicate the degree of scholarly consensus. Out of the three possibilities (hierarchy, hard/soft distinction, or no ordering), the results supported a hierarchy, with physical sciences performing the best followed by biological sciences and then social sciences. The results also held within disciplines, as well as when mathematics and the humanities were included.[24]
Criticism
Critics of the concept argue that soft sciences are implicitly considered to be less "legitimate" scientific fields,[2] or simply not scientific at all.[25] An editorial in Nature stated that social science findings are more likely to intersect with everyday experience and may be dismissed as "obvious or insignificant" as a result.[16] Being labelled a soft science can affect the perceived value of a discipline to society and the amount of funding available to it.[3] In the 1980s, mathematician Serge Lang successfully blocked influential political scientist Samuel P. Huntington's admission to the US National Academy of Sciences, describing Huntington's use of mathematics to quantify the relationship between factors such as "social frustration" (Lang asked Huntington if he possessed a "social-frustration meter") as "pseudoscience".[11][26][27] During the late 2000s recessions, social science was disproportionately targeted for funding cuts compared to mathematics and natural science.[28][29] Proposals were made for the United States' National Science Foundation to cease funding disciplines such as political science altogether.[16][30] Both of these incidents prompted critical discussion of the distinction between hard and soft sciences.[11][16]
The perception of hard vs soft science is influenced by gender bias with a higher proportion of women in a given field leading to a "soft" perception even within STEM fields. This perception of softness is accompanied by a devaluation of the field's worth.[31]
See also
- Demarcation problem
- Exact sciences
- Hard and soft science fiction
- History of science
- Methodological dualism
- Non-science
- Philosophy of social science
- Positivism dispute
- STEM fields
Notes
- ^ Comte viewed astronomy as studying the physics of the entire cosmos, calling it "celestial physics". He classified the rest of physics (under the modern definition) as "terrestrial physics", which was therefore less general.
References
- ^ a b "In praise of soft science". Nature. 435 (7045): 1003–2005. 2005. doi:10.1038/4351003a. PMID 15973363.
- ^ a b c d e Wilson, Timothy D. (12 July 2012). "'Soft' sciences don't deserve the snobbery". Los Angeles Times. Retrieved 19 December 2012.
- ^ a b c Frost, Pamela. "Soft science and hard news". Columbia University. Metanews. Retrieved 10 August 2009.
- ^ Helmenstine, Anne Marie (29 November 2019). "What Is the Difference Between Hard and Soft Science?". ThoughtCo.
- ^ a b c d e Smith LD, Best LA, Stubbs A, Johnston J, Archibald AB (2000). "Scientific Graphs and the Hierarchy of the Sciences". Social Studies of Science. 30 (1): 73–94. doi:10.1177/030631200030001003. S2CID 145685575.
- ^ a b c d e Cole, Stephen (1983). "The Hierarchy of the Sciences?". American Journal of Sociology. 89 (1): 111–139. CiteSeerX 10.1.1.1033.9702. doi:10.1086/227835. JSTOR 2779049. S2CID 144920176.
- ^ a b Fanelli D (2010). ""Positive" results increase down the Hierarchy of the Sciences". PLOS ONE. 5 (4): e10068. Bibcode:2010PLoSO...510068F. doi:10.1371/journal.pone.0010068. PMC 2850928. PMID 20383332.
- ^ Lemons, John (1996). Scientific Uncertainty and Environmental Problem Solving. Blackwell. p. 99. ISBN 978-0865424760.
- ^ Rose, Steven (1997). "Chapter One". Lifelines: Biology Beyond Determinism. Oxford: Oxford University Press. ISBN 9780195120356.
- ^ Gutting, Gary (17 May 2012). "How Reliable Are the Social Sciences?". The New York Times. Retrieved 19 December 2012.
- ^ a b c Diamond, Jared (August 1987). "Soft sciences are often harder than hard sciences". Discover. Archived from the original on 13 December 2012. Retrieved 19 December 2012.
- ^ Hedges, Larry (1 May 1987). "How hard is hard science, how soft is soft science? The empirical cumulativeness of research". American Psychologist. 42 (5): 443–455. CiteSeerX 10.1.1.408.2317. doi:10.1037/0003-066X.42.5.443.
- ^ Lodahl, Janice Beyer; Gordon, Gerald (1972). "The Structure of Scientific Fields and the Functioning of University Graduate Departments". American Sociological Review. 37 (1): 57–72. doi:10.2307/2093493. JSTOR 2093493.
- ^ Latour, B. (1990). "Drawing things together". In M. Lynch; S. Woolgar (eds.). Representation in scientific practice. Cambridge, MA: MIT Press. pp. 19–68.
- ^ Bentley, R. A. (2008). Allen, Colin (ed.). "Random Drift versus Selection in Academic Vocabulary: An Evolutionary Analysis of Published Keywords". PLOS ONE. 3 (8): e3057. arXiv:0807.1182. Bibcode:2008PLoSO...3.3057B. doi:10.1371/journal.pone.0003057. PMC 2518107. PMID 18728786.
- ^ a b c d "A different agenda". Nature. 487 (7407): 271. 2012. Bibcode:2012Natur.487Q.271.. doi:10.1038/487271a. PMID 22810654.
- ^ Winkworth, Thos. (29 October 1858). "Journal of the Society of Arts, Vol. 6, no. 310]". The Journal of the Society of Arts. 6 (310): 697–706. JSTOR 41323682.
- ^ "hard, adj. and n.". Oxford English Dictionary (3rd ed.). Oxford, England: Oxford University Press. June 2015. Retrieved 10 August 2018.
- ^ Platt, J. R. (16 October 1964). "Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others". Science. 146 (3642): 347–353. doi:10.1126/science.146.3642.347. ISSN 0036-8075. PMID 17739513.
- ^ VanLandingham, Mark (2014). "On the Hard and Soft Sciences in Public Health". Public Health Reports. 129 (2): 124–126. doi:10.1177/003335491412900204. ISSN 0033-3549. PMC 3904890. PMID 24587545.
- ^ Storer, N. W. (1967). "The hard sciences and the soft: some sociological observations". Bull Med Libr Assoc. 55 (1): 75–84. PMC 198502. PMID 6016373.
- ^ Simonton DK (2004). "Psychology's Status as a Scientific Discipline: Its Empirical Placement Within an Implicit Hierarchy of the Sciences". Review of General Psychology. 8 (1): 59–67. doi:10.1037/1089-2680.8.1.59. S2CID 145134072.
- ^ Cleveland WS (1984). "Graphs in Scientific Publications". The American Statistician. 38 (4): 261–269. doi:10.2307/2683400. JSTOR 2683400.
- ^ Fanelli D, Glänzel W (2013). "Bibliometric Evidence for a Hierarchy of the Sciences". PLOS ONE. 8 (6): e66938. Bibcode:2013PLoSO...866938F. doi:10.1371/journal.pone.0066938. PMC 3694152. PMID 23840557.
- ^ Berezow, Alex B. (13 July 2012). "Why psychology isn't science". Los Angeles Times. Retrieved 19 December 2012.
- ^ Johnson, George; Laura Mansnerus (3 May 1987). "Science Academy Rejects Harvard Political Scientist". The New York Times. Retrieved 19 December 2012.
- ^ Change, Kenneth; Warren Leary (25 September 2005). "Serge Lang, 78, a Gadfly and Mathematical Theorist, Dies". The New York Times. Retrieved 19 December 2012.
- ^ Richardson, Hannah (26 October 2010). "Humanities to lose English universities teaching grant". BBC News. Retrieved 19 December 2012.
- ^ Jump, Paul (20 January 2011). "Social science emulates scientific method to escape retrenchment". Times Higher Education. Retrieved 19 December 2012.
- ^ Lane, Charles (4 June 2012). "Congress should cut funding for political science research". The Washington Post. Archived from the original on 29 October 2013. Retrieved 19 December 2012.
- ^ Light, Alysson. "More women in a STEM field leads people to label it as a 'soft science,' according to new research". theconversation.com. The Conversation. Retrieved 25 January 2022.