Analyse de l’implantation de l’approche S’occuper des enfants
Bibliographic record
Abstract
Comme au Royaume-Uni, en Australie et dans un projet pilote au Québec, les Sociétés d’aide à l’enfance de l’Ontario sont en train d’implanter l’approche S’occuper des enfants (SOCEN) et son outil, le Cahier d’évaluation et de suivi (CÉS), pour évaluer les besoins des jeunes placés. En raison de la relative nouveauté de cet outil, il est important de cerner les perceptions qu’en ont des cliniciennes qui l’utilisent et leurs superviseures. À cet effet, 20 entrevues en profondeur ont été menées à l’hiver 2004. Les intervenantes interrogées soutiennent que le CÉS aide à mieux cerner les besoins des jeunes et que leurs plans d’intervention sont plus détaillés. Cependant, cet outil comporte certaines contraintes. Le contexte bureaucratique dans lequel il s’insère en complexifie davantage l’usage. Les intervenantes ouvrent donc des pistes pour se réapproprier cet outil clinique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".