A descriptive study of a specialized worker's psychological trauma program
Bibliographic record
Abstract
BACKGROUND: Psychological trauma in the workplace is gaining recognition as an important cause of workplace disability but little is known about the workers who are affected. The Psychological Trauma Program (PTP) in Toronto (Canada) is a specialized provincial worker's compensation board assessment program for workers with psychological sequelae of workplace trauma. AIMS: To characterize workers presenting to the PTP in terms of demographic, occupational, traumatic exposure and diagnostic variables. METHODS: A retrospective secondary analysis of all workers referred to the PTP for assessment within 1 year of traumatic event between 1999 and 2006. RESULTS: Five hundred and thiry-one referred workers were included in the study. Most workers were working-age male (76%), married (65%) and labourers (43%). Nearly half were born outside Canada. Post-traumatic stress disorder was the primary diagnosis in 44%. Fifty-eight percent had one or more secondary diagnoses. For just over half of the workers, the traumatic event resulted in a permanent physical impairment. CONCLUSIONS: Specialist referral may be indicated for workers experiencing prolonged recovery following workplace trauma. Male workers and those with co-morbidities or permanent injuries may be more likely to require referral. Individualized treatment approaches are likely important; however, more research is needed to guide future interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".