Transcultural Clinical Work with Immigrants, Asylum Seekers and Refugees at Avicenne Hospital, France
Bibliographic record
Abstract
This article presents and critically analyses an approach that is part of a specific context of health care ideologies and services in France: the ethnopsychoanalytic consultations that are practised at the Avicenne Hospital. It is one of the few places where a specific approach for immigrant clients is offered in a university hospital. We give some background information both on the history of the hospital and on the ethnopsychiatric consultation. We then discuss some of the basic principles of the French ethnopsychoanalytic approach, and describe the work in a multicultural group setting. We also give some information about the indications for this kind of therapy, on the population served and on the way the transcultural consultation co‐operates with other services. A short case presentation will illustrate the description of the French ethnopsychoanalytical approach and lead to a critical conclusion analysing the strengths and weaknesses of this model.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".