Les représentations filmiques de la santé mentale des migrants : pistes réflexives
Bibliographic record
Abstract
Cet article propose des pistes réflexives sur l’analyse des représentations cinématographiques, principalement fictionnelles, abordant la santé mentale des migrants. L’un des enjeux de notre réflexion est de cerner les films se consacrant à ce sujet et, de les identifier puis d’analyser comment des individus – en l’occurrence des migrants malades – y sont représentés. Qu’apporte ce mode de figuration qu’est le cinéma à la compréhension de la santé mentale en contexte migratoire ? Le cinéma fictionnel est-il source de stéréotypie (les migrants comme porteurs de danger social, responsables des déficits publics, etc.) ou marque-t-il une rupture avec des représentations réductrices ? Le cinéma met-il en image et en sons les impacts des violences, de l’isolement affectif, de la guerre, des persécutions, des menaces, des troubles du sommeil sur la santé mentale des migrants ? La fiction rend-elle compte des espaces cliniques et thérapeutiques proposés aux migrants ?
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".