La perception de la relation père-enfant et l'adaptation des enfants suite au dévoilement d'une agression sexuelle.
Bibliographic record
Abstract
Cette etude explore l'impact de la relation pere-enfant sur l'adaptation des enfants suite au devoilement d'une agression sexuelle. Soixante-dix-neuf enfants ont rempli des mesures evaluant la perception de securite d'attachement a la mere et au pere (Kerns Security Scale; Kerns, Klepac & Cole, 1996), les troubles de comportement interiorises et exteriorises (Dominique interactif; Valla, Bergeron, St-Georges & Berthiaume, 2000) et l'estime de soi (Self-Perception Profile for Children; Harter, 1985) apres le devoilement d'une agression sexuelle. Les resultats indiquent que la perception de securite d'attachement au pere n'est pas significativement correlee a la perception de securite d'attachement a la mere. Une serie de regressions hierarchiques revelent que la perception de securite d'attachement a la figure paternelle ajoute a la prediction des comportements interiorises, exteriorises (marginaux) et a l'estime de soi des enfants au-dela de la perception de securite d'attachement a la mere. Sont presentees les repercussions possibles des resultats dans le cadre des interventions offertes aux enfants victimes d'agression sexuelle.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".