[Post-traumatic stress disorder. After the flood in Saguenay].
Bibliographic record
Abstract
OBJECTIVE: To measure the prevalence of posttraumatic stress disorder and emotional distress among victims of the Saguenay flood compared with those who were not affected by the flood. DESIGN: Cross-sectional study using a telephone survey of victims and a control group. SETTING: Chicoutimi, Que. PARTICIPANTS: Sixty-two adults in a flooded area and a control group of 79 volunteers chosen randomly from an adjacent area. MAIN OUTCOME MEASURES: Diagnostic criteria for posttraumatic stress disorder measured using the Post-traumatic Stress Disorder Reaction Index and high scores on the Self-Reporting Questionnaire on emotional distress. RESULTS: Socially and demographically, study group and control group were comparable. Prevalence of posttraumatic stress disorder in the study group was close to 20% (odds ratio [OR] 6.08; 95% confidence interval [CI] 1.63 to 22.64). Prevalence of emotional distress in the study group was 29% (OR 2.42; 95% CI 1.04 to 5.61). CONCLUSION: The Saguenay flood caused psychological distress that was measurable 4 months later. Health care professionals should be aware of the psychological effects of natural disasters.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".