Convergence entre clinique et neurosciences chez le trouble réactionnel de l’attachement : illustrations cliniques
Bibliographic record
Abstract
Cette étude vise à décrire le fonctionnement psychologique de trois enfants portant le diagnostic de trouble réactionnel de l’attachement et tenter un rapprochement entre ce diagnostic, leur fonctionnement et les atteintes neurocognitives pouvant être liées. Les difficultés émotionnelles et comportementales, les représentations d’attachement et les données des dossiers pédopsychiatriques seront examinées, puis des facteurs communs mis en évidence. Une intégration des difficultés de ces enfants, de leurs atteintes neurobiologiques, et des connaissances issues des neurosciences concernant les troubles d’attachement est amorcée. Enfin, les limites de cette étude de cas sont discutées afin de mettre en perspective de futures avenues de recherche.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".