A Study of the Effectiveness of Workplace Health and Safety Programmes in a University Setting in Canada
Bibliographic record
Abstract
Introduction: Nearly a quarter-million people work in universities in Canada, making it one of the fastest-growing sectors. Although each university provides occupational health and safety services and training programmes to their employees, there have been no studies conducted on the impact of such programmes on employees' knowledge, attitude and behaviour. The aim of this study was to evaluate the effectiveness of dissemination of information of workplace health and safety programmes to workers at a Canadian university. Methods: The study compared two cross-sectional online surveys of employees of a Canadian university regarding workplace health and safety with a previously conducted cross-sectional study and thematic analysis of key informant interviews to address the issues raised in the surveys. Results: Participation in health and safety presentations could enhance understanding and practices of safety. Age, employment status and duration of employment were associated with the levels of knowledge, attitudes and behaviour of employees and graduate students. The key informant interviews highlighted some new initiatives such as the establishment of workplace health and safety committees in all university buildings; the development of a safety app and health and safety management system; routine annual inspections of all university building offices and laboratories; new orientation for undergraduate students where general safety rules are described. Discussion: University should have regular presentations on the available health and safety programmes and should increase the number of safety training programmes and keep track of the employees that have not received any training, particularly for those working in hazardous environments.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".