Troubles de l'attachement et traumatismes chez l'enfant : recension intégratives des écritis
Bibliographic record
Abstract
Les troubles de l’attachement dans l’enfance, et plus particulièrement les troubles réactionnels de l’attachement sont complexes. Afin de bien saisir leur complexité et intervenir adéquatement, il faut non seulement bien les comprendre et les cerner, mais aussi bien évaluer les traumatismes associés à ces troubles et les effets des traumatismes vécus par l’enfant. Ce mémoire, construit à l’aide d’une recension intégrative des écrits, vise à offrir quelques pistes de réflexion et de compréhension sur les troubles de l’attachement, dont le trouble réactionnel de l’attachement, les traumatismes, dont les traumatismes sévères vécus dans l’enfance, et les principaux modèles d’intervention pour traiter ces deux problématiques. La discussion porte principalement sur les barrières qui rendent très difficile l’intervention auprès de ces enfants et, plus particulièrement auprès des enfants qui vivent dans le nord de l’Ontario.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".