Determinants of genetic essentialist beliefs about race: a comparison of Canada and the United States
Bibliographic record
Abstract
With the rise of genomics, beliefs about the relationship between race and genetics are increasingly important. Genetic essentialist beliefs – the idea that races have core essences determined by their genes – are associated with prejudice and justification of racial inequalities. Yet research to understand these beliefs is hampered by a lack of measures across nations. This exploratory study uses the newly-developed Genetic Essentialism Scale for Race to compare genetic essentialist beliefs and their determinants in samples of native-born White Canadians and Americans. We find higher average genetic essentialism among Canadian respondents than their American counterparts. However, examining subdimensions of genetic essentialism shows some of the views that contribute to it are held more strongly in the U.S., and others in Canada. We compare the determinants of genetic essentialism and its subdimensions across these national contexts and suggest further research into the role of multiculturalist policies, educational curricula, and religiosity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".