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Virginia Tech

Making Change Intelligible: Why The Study of Human Kinds Is Just Science As Usual

Abstract

dc:description.abstract

This paper challenges the notion that the social sciences require a fundamentally different methodology from the natural sciences due to the interactivity of human kinds. By examining the concept of classificatory looping and its impact on human kinds, the author argues that understanding the causal pathways and utilizing behavioral science can offer reliable generalizations about human kinds. The paper presents examples such as the Buraku of Japan and African Americans to demonstrate how behavioral science can be employed to predict changes in properties of social groups. It posits that the social sciences can operate in a manner similar to the natural sciences by examining generic human tendencies that hold broadly across diverse social contexts. This exploration ultimately supports the unity thesis, emphasizing that social sciences can indeed gain a scientific understanding of human kinds comparable to the knowledge offered by natural sciences.

Degree

thesis:*
Name thesis:degree_name
Master of Arts
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Philosophy
Department dc:contributor.department
Philosophy
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ali, Mohamed
Chair dc:contributor.committeechair
  • Parker, Wendy
Committee members dc:contributor.committeemember
  • Hoek, Daniel
  • Hersch, Gil

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:37272
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/114921

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ali, Mohamed. Making Change Intelligible: Why The Study of Human Kinds Is Just Science As Usual. masters thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/114921