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Thinking about populations and races in time.

Roberta L Millstein1

  • 1Department of Philosophy, University of California, Davis, One Shields Ave, Davis, CA 95616, USA.

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Summary

Biological race concepts rely on population definitions, but this creates puzzles related to time. This study extends the causal interactionist population concept (CIPC) to address these puzzles, suggesting revisions to race concepts.

Keywords:
Backward-lookingGenomicsMigrationPopulationsRacesTime

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Area of Science:

  • Evolutionary biology
  • Philosophy of science
  • Population genetics

Background:

  • Diverse concepts of biological race exist, proposed by biologists and philosophers.
  • Many race concepts rely on the notion of biological populations.
  • Integrating population concepts into race definitions introduces temporal puzzles.

Purpose of the Study:

  • To extend the causal interactionist population concept (CIPC) by incorporating temporal dynamics.
  • To investigate and resolve three puzzles arising from the temporal dimension of populations in race concepts.
  • To propose revisions to the understanding of biological race based on a temporally-aware population concept.

Main Methods:

  • Conceptual analysis of existing race and population definitions.
  • Extension of the causal interactionist population concept (CIPC).
  • Introduction of assumptions for understanding populations through time.

Main Results:

  • The extended CIPC sheds light on the temporal puzzles associated with population-based race concepts.
  • The study demonstrates the necessity of revising current race concepts.
  • A temporally-informed population concept is crucial for understanding biological race.

Conclusions:

  • Understanding biological race requires a robust concept of population that accounts for time.
  • The causal interactionist population concept (CIPC), when extended temporally, offers a framework for resolving existing puzzles.
  • Current definitions of biological race may need significant revision to accommodate temporal population dynamics.