La consommation d'alcool et de drogue des étudiants suite à la fusillade de Dawson: Une analyse différenciée selon le sexe
Bibliographic record
Abstract
OBJECTIVE: To study alcohol and drug addiction incidence in students exposed to the Dawson College shooting within the 18 months following the event, to identify the precursors of a psychoactive substance addiction development while considering the severity of event exposure, and to examine whether alcohol use, 18 months after the event, is related to any of the various posttraumatic stress disorder (PTSD) symptom groups. METHOD: The population of this study was comprised of all the Dawson College students at the time of the event. Analyses were conducted with 854 students enrolled in the college at the time of the shooting. RESULTS: Five per cent of women and 7% of men showed, for the first time in their life, a problem with substance addiction following the shooting. In men, young age, lifetime suicidal ideation, and having seen the killer during the shooting are the main precursors of incident accident cases. None of the studied precursors were significant in women. Men and women were also different in terms of PTSD symptoms predicting alcohol use 18 months after the shooting. CONCLUSION: The study highlights the importance of considering a person's sex when studying their psychoactive substance use following a trauma.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".