Relations entre l'abus sexuel et l'ajustement dyadique chez l'homme
Bibliographic record
Abstract
L'objectif de la présente étude est d'évaluer la relation entre l'abus sexuel chez l'homme et l'ajustement dyadique, à l'aide de modèles théoriques intégrant l'attachement (échelles d'anxiété et d'évitement) et la détresse psychologique. Les participants sont 316 hommes qui forment un échantillon représentatif des Québécois francophones en relation de couple. Des analyses d'équations structurales indiquent un bon ajustement entre les modèles théoriques et les données, tant pour l'échelle d'anxiété que pour l'échelle d'évitement. D'une part, il appert que l'abus sexuel influence indirectement l'ajustement dyadique par le biais de l'échelle d'anxiété face à l'abandon et de la détresse psychologique. D'autre part, les résultats n'indiquent aucun lien entre l'abus sexuel et l'évitement de l'intimité, bien que cette dernière variable influence directement et indirectement l'ajustement dyadique.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.001 |
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".