L’évaluation professionnelle des demandes d’adoption : la composante affective et l’approche biographique
Bibliographic record
Abstract
L’adoption est une pratique juridique lourde de conséquences. Toutefois, culturellement, elle est d’abord définie comme une réalité affective, comme un geste d’amour. Les travailleuses sociales chargées d’examiner les demandes d’adoption doivent circonscrire ce champ affectif de l’adoption pour l’introduire dans une logique de contrôle et de jugement. L’approche biographique joue un rôle important dans cette démarche. Elle balise le terrain de l’intervention en l’axant prioritairement sur les dimensions individuelle et psychologique; elle contribue à différentes opérations de définition et de catégorisation des éléments d’une adoption (abandon, enfant, parents...); enfin, elle s’articule à un processus d’intériorisation, par les postulants à l’adoption, des normes et critères professionnels de l’évaluation.
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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 | 0.051 | 0.132 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".