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Generalizations in the Social Sciences
American Journal of Sociology, 1953There is a tendency to overgeneralize in sociology and social psychology, and the logical conditions for extension of conclusions outside the data are not fulfilled. As a result, replications often do not verify the original studies. Some suggestions for improving research design to achieve consistent replications are discussed: the use of theory ...
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A general framework for social science
Policy Sciences, 1972It is possible to construct a basic framework that potentially accommodates the interactions of all biological, biosocial, cultural and situational determinants of behavior. While specific problems will require changes of detail, a single structure of interactions for all problems increases the additive possibilities of the field, and makes feasible ...
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Dialectic as a General Method of Social Science: Varieties of Social Science Experience
1981There can be little doubt that what we have come to call scientific method has undergone significant transformation and development in this century and the last. Nowhere has this been more apparent than in the social sciences. If the essence of method be identified with control, quantification, and measurement, then the ability of the social sciences ...
Ian I. Mitroff, Richard O. Mason
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Historical Generalization and Social Science Education
The Social Studies, 1975(1975). Historical Generalization and Social Science Education. The Social Studies: Vol. 66, No. 5, pp. 214-217.
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On the scope and limits of generalizations in the social sciences
Synthese, 1993This article disputes the common view that social science explanations depend on discovery of lawlike generalizations from which descriptions of social outcomes can be derived. It distinguishes between governing and phenomenal regularities, and argues that social regularities are phenomenal rather than governing.
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Generative AI tools (ChatGPT*) in social science research
Journal of Information, Communication and Ethics in SocietyPurpose This paper aims to critically examine the implications of using generative artificial intelligence (AI) models, such as ChatGPT and Bard, in social science research. It examines the doppelganger effect in AI-driven studies as well as cognitive dissonance brought on by the autonomy of these tools.
Rigin Sebastian +3 more
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Social science studies get a ‘generous’ test
Science, 2018New replication effort aimed to detect effects overstated in the original reports.
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The Need for General Laws in the Social Sciences
Science, 1951E W, Leaver, J J, Brown
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Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science
2014This book introduces a new theoretical entity: Agent_Zero. This software individual, or “agent,” is endowed with distinct emotional/affective, cognitive/deliberative, and social modules. Grounded in contemporary neuroscience, these internal components interact to generate observed, often far-from-rational, individual behavior.
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Agent_Zero and generative social science
2015 Winter Simulation Conference (WSC), 2015openaire +1 more source