Comment favoriser la communication thérapeutique avec une population vulnérable ?
Bibliographic record
Abstract
En France, les mineurs non accompagnés ( mna ) rencontrent de multiples obstacles qui peuvent avoir des effets négatifs sur leur santé mentale. Les professionnels de la santé et du social qui participent à leur prise en charge doivent développer et mettre en œuvre des approches et outils adaptés aux réalités des mna et qui leur offrent un espace d’interactions le plus ouvert possible. À partir d’une revue de littérature, nous proposons dans cet article de dresser un état des lieux de la santé mentale des mna et d’identifier les approches ainsi que les outils développés et mis en œuvre par les professionnels qui visent à favoriser la communication et l’expression des mna (notamment l’approche interculturelle, le travail en interdisciplinarité, l’art-thérapie). Nous formulons en conclusion plusieurs pistes de réflexion à l’endroit des professionnels et des pouvoirs publics qui travaillent avec ce jeune public migrant.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".