Gender Eugenics Between Medicine, Culture, and Society
Bibliographic record
Abstract
Click to increase image sizeClick to decrease image size Acknowledgments We are grateful for the precious discussions we had with the members of the Transdisciplinary Research group in Medical Genetics and Social Sciences at Université de Sherbrooke. We thank Mrs. Naomi Levin for her precious help in editing the commentary. The work underlying this commentary was supported by the Fonds de la recherche en santé du Québec (grant FRSQ-09-10-525) to CB and RD. VC holds a studentship from the Fonds québécois de la recherche sur la société et la culture (FQRSC) and the Quebec Training Network in Perinatal Research (QTNPR). FDL holds a studentship from the Foundation of Stars. CB was a Research Scholar (junior 2 program) of the FRSQ.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.008 |
| 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".