Explorer le vécu de la crise à partir de la parole incarnée d’intervenants professant en unité de crise et d’urgences psychiatriques
Bibliographic record
Abstract
Cet article propose de partager le vécu de la crise d’intervenants professant en unité de crise et d’urgences psychiatriques. Cette première étape représente le point de départ d’une étude plus large qui vise à mettre en lumière les processus thérapeutiques à l’oeuvre dans le travail clinique de crise. Après une brève présentation de la problématique, du paradigme épistémologique et de la démarche méthodologique, nous déployons le processus du déroulement de la recherche. Pour conclure, nous proposons d’exposer les résultats. L’intérêt est porté sur les données empiriques qui mettent en lumière la parole incarnée des intervenants. Notre objectif est de donner du sens à l’essence du vécu des intervenants participant à cette étude.
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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 | 0.012 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".