Bibliographic record
Abstract
Abstract While Michel Foucault’s writings have been taken up extensively to explore gender and sexuality, until recently there was little work drawing on Foucault’s writings to discuss race. In part, this was because Foucault seemed to have said almost nothing about race, aside from some comments on Nazism and eugenics in the final pages of Part V of The History of Sexuality , volume 1. With the 1997 and 1999 publication of two series of lectures that Foucault delivered at the Collège de France between 1974 and 1976, Abnormal and “Society Must Be Defended” (both appearing in English translation in 2003), Foucault scholars have, however, become aware that he made more extensive and provocative observations about race than had previously been believed. Both of these lecture series gives a genealogical account of the ways in which modern, biological forms of racism emerged at a certain point in history, stressing the contingency of this emergence and its enmeshment in power struggles and modern forms of power. This paper provides an account of what Foucault argues about race and racism in the Collège de France lectures, and, more briefly, presents two of the most extended treatments of race coming from Foucauldian perspectives that have appeared in the wake of these texts.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".