Profils de répercussions sexuelles chez des femmes victimes d'agression sexuelle à l'âge adulte
Bibliographic record
Abstract
La présente étude porte sur les profils de répercussions sexuelles observés chez des femmes victimes d’une agression sexuelle à l’âge adulte (ASA). Ces profils sont comparés selon diverses caractéristiques sociodémographiques et la sécurité d’attachement des participantes. L’échantillon est formé de 150 femmes victimes d’ASA qui ont répondu à des questionnaires en ligne. L’analyse de profils latents fait ressortir quatre profils distincts de répercussions sexuelles : détresse, compulsion, dysfonction et bien-être. Les résultats d’ANOVAs et d’un khicarré suggèrent que le statut relationnel, l’anxiété d’abandon et l’évitement de l’intimité sont associés à des profils spécifiques de séquelles sexuelles de l’ASA. Les résultats obtenus permettent de mieux cibler les principaux symptômes sexuels à examiner et à traiter chez des femmes victimes d’ASA. Ils appuient l’intérêt de considérer ces variables associées lors d’interventions offertes aux victimes d’ASA.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".