Understanding the organizational performance metric, an occupational health and safety management tool, through workplace case studies
Bibliographic record
Abstract
Purpose The purpose of this paper is to use a comparative qualitative case study design to better understand how the observed characteristics of an organization correspond to their score on the organizational performance metric (IWH-OPM), a leading indicator tool designed to measure an organization’s occupational health and safety (OHS) performance. Design/methodology/approach Five organizations were recruited based on their diverse IWH-OPM scores obtained in a previous study. Qualitative data were collected from these cases and analyzed with consideration of OHS leadership; OHS culture and climate; employee participation in OHS; OHS policies, procedures and practices; and OHS risk control. Similarities and differences among organizations were examined in relation to these themes. Findings Three distinct groups of firms emerged from the cross-case analysis in terms of their overall OHS performance: high, medium and low. Higher firm IWH-OPM scores generally corresponded to better OHS performance in the workplace as observed through qualitative methods. Originality/value The findings are a step toward OHS leaders or practitioners eventually being able, based on an organization’s IWH-OPM score, to have a quick understanding of a workplace’s OHS status and of how best to support further improvement.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".