Bibliographic record
Abstract
Les résultats préliminaires d’une enquête menée en ligne auprès de jeunes lesbiennes canadiennes francophones révèlent, notamment, que la majorité des 362 répondantes se perçoivent à l’aune du dispositif de différenciation des sexes et des sexualités, plutôt qu’à celui, attendu en cette ère postmoderne, du dé/constructivisme. S’agit-il de l’influence des phénomènes d’hypersexualisation médiatique des jeunes femmes et de pornographisation de la culture populaire fort présents actuellement en Amérique du Nord ? Ou d’une stratégie de survie dans un contexte de backlash et d’invisibilisation du lesbianisme (non factice) ? Ou encore d’une position de repli face au cumul des discriminations que subit ce groupe social sur le plan du sexe, de la sexualité, de la langue, de la culture, mais également, dans les cas d’appartenance à une minorité dite « visible » ou migrante, de la « race » et de la citoyenneté ?
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 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".