Looking Back on Proposals on the Biological Aspects of Race. UNESCO, Moscow, 1964.Interview by Jean-Luc Bonniol
Bibliographic record
Abstract
Jean Benoist a participé en 1964 à la troisième conférence sur la question raciale, organisée par l’Unesco à Moscou en 1964, plus spécifiquement consacrée aux aspects biologiques de la question. Il rappelle quels étaient les enjeux de cette conférence, durant laquelle a pu se dégager un consensus concernant l’inadéquation par rapport au réel d’une approche typologique de la diversité humaine, sur l’absence de « tares » raciales, ainsi que sur la dissociation totale entre traits physiques et comportements sociaux et culturels. Il retrace son itinéraire et la maturation de sa pensée sur le sujet, en évoquant comment celui-ci était alors traité par l’anthropologie française, puis précisant sa position par rapport aux avancées biologiques récentes dans le domaine et face à la perduration des représentations populaires de la race.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".