État de stress post-traumatique comorbide, facteurs de risque et de protection parmi des individus itinérants en traitement pour des troubles liés à l’utilisation de substances
Bibliographic record
Abstract
Peu d’études explorent les fréquences de traumas et d’état de stress posttraumatique (ÉSPT) chez les itinérants, spécifiquement parmi ceux avec des troubles liés à l’utilisation de substances (TUS). L’objectif principal de cette étude était de mesurer les fréquences de trauma et d’ÉSPT parmi les usagers en traitement pour des TUS à Montréal. L’autre objectif était de vérifier les différences entre ceux ayant ou non un ÉSPT. 51 individus itinérants, 9 femmes et 42 hommes, ont constitué l’échantillon. L’âge moyen était de 46 ans (SD = 7.19). Les participants ont vécu en moyenne 4.24 (SD = 2.06) types de trauma. 49% de l’échantillon avaient potentiellement un diagnostic d’ÉSPT. La majorité avait: un parent alcoolique, vécu un trauma dans l’enfance et un soutien social faible. Les participants qui avaient potentiellement un diagnostic d’ÉSPT: avaient un parent alcoolique, vécurent un trauma dans l’enfance et utilisaient davantage de stratégies de coping inadaptées.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".