Sexes à bras-le-corps. Introduction
Bibliographic record
Abstract
<p>Ce numéro d'Inter, Sexes à bras-le-corps, propose un aperçu de quelques explorations autour de la sexualité et du genre, avant tout au Québec et en France à partir d’un axe privilégié qui a présidé à l’organisation du dossier : le féminisme. Cela invitait dès lors à une lecture particulière du « sexe » que certain(e)s prennent « à bras-le-corps » : il ne s’agissait pas, dans ces conditions, de sexualité, d’érotisme ou d’obscénité, en tout cas pas de manière exclusive ou prioritaire, mais de genre et de la manière dont les rapports sociaux de sexe marquent la création, tant du côté de la production, de la formation, de la diffusion, que du côté des thématiques abordées, des sujets, des corps, des scènes représentés – y compris des scènes sexuelles.</p>
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".