Assessing the Psychometric Properties of the French-Canadian Version of the Psychological Safety Climate Questionnaire (PSC-12)
Why this work is in the frame
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Bibliographic record
Abstract
Psychosocial safety climate (PSC) refers to the collective belief among workers regarding the protection and support of their psychological health and safety by senior management. Despite the recognized importance of PSC in mitigating exposure to detrimental psychosocial risk factors at work, a validated instrument in French is lacking. This study aimed to evaluate the psychometric properties of the French-Canadian version of the PSC-12 and its associations with job satisfaction and psychological distress. A cross-sectional validation study was conducted to evaluate the psychometric properties of the PSC-12. Using cross-sectional data from an online survey of adults in a French-Canadian university ( n = 1,784), the psychometric properties of the PSC-12, a 12-item questionnaire, were assessed. Internal consistency, validity, and factor structure were examined through exploratory factor analysis conducted using SAS v.9.4 software. Confirming the original four-factor structure, the French-Canadian version of the PSC-12 demonstrated satisfactory internal consistency (Cronbach's α of 0.95) and validity indices. Its convergent and divergent validity was evidenced by a positive association with job satisfaction ( r = 0.34, p < 0.05) and the negative association with psychological distress ( r = -0.50, p < 0.05). The French-Canadian adaptation of the PSC-12 maintains cross-cultural validity, providing a validated and concise tool for assessment within the French-Canadian community. Practical Applications : By facilitating the prevention of mental health problems among workers, this questionnaire has the potential to contribute to alleviating burdens for individuals, workplaces, and society.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it