Saisir le harcèlement de rue et ses impacts au prisme de l’articulation des rapports sociaux
Bibliographic record
Abstract
Le harcèlement de rue est un phénomène structurant dans la vie des femmes et, pourtant, il reste relativement peu étudié au Québec. Sur la base des résultats d’une enquête par groupes de discussion focalisée tenus avec 19 femmes à Montréal, cet article vise à rendre compte de l’ampleur des violences subies par les femmes dans l’espace public et de la grande variété de leurs répercussions. Il met ainsi en évidence les expériences contrastées des Montréalaises, structurées par différents rapports sociaux. Ce faisant, cet article souligne la nécessité de mettre en oeuvre des dispositifs d’enquête qui tiennent compte de l’articulation des rapports sociaux pour mieux saisir le phénomène du harcèlement de rue.
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".