Bilan d’une «clinique satellite» : L’expérience de cinq ans d’une équipe pédo-psychiatrique en milieu défavorisé
Bibliographic record
Abstract
Having worked closely for more than ten years with a team of child psychiatrists that defines itself as community-oriented, I attempt to describe the process by which this team became established in its designated territory. My aim is to provide an overview spanning the five years during which a "satellite clinic" established itself in a low-income district. I proceed by drawing a profile of the neighboring population and that which consults in particular, of agencies that refer and their motives for referral, as well as of our ways of responding to their requests. I also examine the collaboration with the various organizations in the district and what this entails with regard to hopes, doubts and conflict. Although being located within the designated territory had an overall positive impact on our work and our objective to prevent and detect anomalies, it has not necessarily been helpful in establishing better links with neighboring "support" organizations.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| 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".