Bibliographic record
Abstract
Des travaux pionniers développés au cours des dernières décennies permettent de concevoir les notions de sexe, de genre et d’orientation sexuelle de façon à dépasser le traditionnel modèle binaire. De manière générale, les professionnels de la santé et des services sociaux tardent toutefois à prendre acte de ce changement de paradigme qui fait une large place à la diversité humaine, et beaucoup moins à la marginalisation ou à la pathologisation des différences. Dans le présent article, seront notamment présentés les travaux d’Alfred Kinsey, de Sandra Bem et d’Anne Fausto-Sterling, portant respectivement sur l’orientation sexuelle, le genre et le sexe. Il sera proposé d’inclure leurs contributions (et celles de leurs successeurs) dans un modèle tenant compte à la fois de la diversité et de la fluidité susceptibles d’être présentes dans les identités et les expressions de soi relatives au sexe, au genre et à l’orientation sexuelle.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".