Hard and soft science

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] Roughly speaking, the natural sciences (e.g. physics, biology, astronomy) are considered "hard", whereas the social sciences (e.g. psychology, sociology, political science) are usually described as "soft".[3]

Precise definitions vary,[4] 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][5][6][7][8][9][10][11] 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.[4][12]

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.[5] 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,[4][13] and soft sciences are more prone to a rapid turnover of buzzwords.[14]

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][15]

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,[16][17] 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.[5]

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.[18][19] 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.[5][20]

Empirical support

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.[5] However, 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.[21]

Cleveland 1984 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.[22] Further analyses by Smith in 2000,[4] 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 with individual fields, and demonstrated the same result using ten subfields of psychology (r=0.93).[4]

Fanelli 2010 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.[6]

Fanelli 2013 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.[23]

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.[24] 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.[15] 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".[10][25][26] During the late 2000s recessions, social science was disproportionately targeted for funding cuts compared to mathematics and natural science.[27][28] Proposals were made for the United States' National Science Foundation to cease funding disciplines such as political science altogether.[15][29] Both of these incidents prompted critical discussion of the distinction between hard and soft sciences.[10][15]

See also

Notes
  1. 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
  1. "In praise of soft science". Nature. 435 (7045): 1003–2005. 2005. doi:10.1038/4351003a. PMID 15973363.
  2. Wilson, Timothy D. (12 July 2012). "'Soft' sciences don't deserve the snobbery". Los Angeles Times. Retrieved 19 December 2012.
  3. Frost, Pamela. "Soft science and hard news". Columbia University. Metanews. Retrieved 10 August 2009.
  4. 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.
  5. 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.
  6. Fanelli D (2010). ""Positive" results increase down the Hierarchy of the Sciences". PLOS ONE. 5 (4): e10068. doi:10.1371/journal.pone.0010068. PMC 2850928. PMID 20383332.
  7. Lemons, John (1996). Scientific Uncertainty and Environmental Problem Solving. Blackwell. p. 99. ISBN 978-0865424760.
  8. Rose, Steven (1997). "Chapter One". Lifelines: Biology Beyond Determinism. Oxford: Oxford University Press. ISBN 9780195120356.
  9. Gutting, Gary (17 May 2012). "How Reliable Are the Social Sciences?". The New York Times. Retrieved 19 December 2012.
  10. 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.
  11. 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.
  12. 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.
  13. Latour, B. (1990). "Drawing things together". In M. Lynch; S. Woolgar (eds.). Representation in scientific practice. Cambridge, MA: MIT Press. pp. 19–68.
  14. 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. doi:10.1371/journal.pone.0003057. PMC 2518107. PMID 18728786.
  15. "A different agenda". Nature. 487 (7407): 271. 2012. doi:10.1038/487271a. PMID 22810654.
  16. 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.
  17. "hard, adj. and n.". Oxford English Dictionary (3rd ed.). Oxford, England: Oxford University Press. June 2015. Retrieved 10 August 2018.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Cleveland WS (1984). "Graphs in Scientific Publications". The American Statistician. 38 (4): 261–269. doi:10.2307/2683400. JSTOR 2683400.
  23. Fanelli D, Glänzel W (2013). "Bibliometric Evidence for a Hierarchy of the Sciences". PLOS ONE. 8 (6): e66938. doi:10.1371/journal.pone.0066938. PMC 3694152. PMID 23840557.
  24. Berezow, Alex B. (13 July 2012). "Why psychology isn't science". Los Angeles Times. Retrieved 19 December 2012.
  25. Johnson, George; Laura Mansnerus (3 May 1987). "Science Academy Rejects Harvard Political Scientist". The New York Times. Retrieved 19 December 2012.
  26. Change, Kenneth; Warren Leary (25 September 2005). "Serge Lang, 78, a Gadfly and Mathematical Theorist, Dies". The New York Times. Retrieved 19 December 2012.
  27. Richardson, Hannah (26 October 2010). "Humanities to lose English universities teaching grant". BBC News. Retrieved 19 December 2012.
  28. Jump, Paul (20 January 2011). "Social science emulates scientific method to escape retrenchment". Times Higher Education. Retrieved 19 December 2012.
  29. Lane, Charles (4 June 2012). "Congress should cut funding for political science research". The Washington Post. Retrieved 19 December 2012.
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