Signalement d'enfants aux services de protection de la jeunesse : quels acteurs sont influencés par la couverture journalistique de la maltraitance ?
Bibliographic record
Abstract
Dans les dernières années, le Canada, tout comme la France, ont enregistré une haussedu nombre d’enfants victimisés, signalés aux autorités. Cet article examine l’hypothèsevoulant que les histoires d’enfants maltraités publiées par les médias ont conscientiséla population à signaler davantage les cas de victimation. Il s’appuie sur l’analyse del’entrée quotidienne des signalements (N = 11563) durant deux années dans un centrede protection de l’enfance de même que sur la couverture médiatique de la protection dela jeunesse dans la presse écrite. Les résultats font état d’un impact modéré des médiassur les signalements d’enfants, l’ampleur de cette relation variant selon la catégorie depersonnes qui signalent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".