A qualitative exploration of work-related head injury: vulnerability at the intersection of workers’ decision making and organizational values
Bibliographic record
Abstract
BACKGROUND: Work-related head injury is a critical public health issue due to its rising prevalence; the association with profound disruption of workers' lives; and significant economic burdens in terms of medical costs and lost wages. Efforts to understand and prevent these types of injuries have largely been dominated by epidemiological research and safety science, which has focused on identifying risk at the level of the individual worker, population group, or organizational sector. Limited research has focused on the perspectives of the workers, a key stakeholder group for informing understanding of vulnerability to work-related head injury. This study explored workers' perspectives to better understand their decision-making and how and why their injuries occurred. METHODS: We conducted a qualitative study using in-depth semi-structured interviews with thirty-two adult workers who had sustained a work-related head injury. Workers were recruited from an urban clinic in central Ontario, Canada. Labour Process Theory informed the thematic analysis. RESULTS: Three hazardous work conditions were identified: insufficient training; inadequate staffing; and inattention to the physical environment. In addition, professional and organizational norms were implicated in vulnerability to head injury including putting the client before the worker and the pressure to work unsafely. The findings also highlight a complex interrelationship between workers' decision-making and professional and organizational norms that produces vulnerability to head injury, a vulnerability which oftentimes is reproduced by workers' decisions to work despite hazardous conditions. CONCLUSIONS: Our findings suggest that, beyond the need to redress the inattention to hazards in the physical environment, there is a need to address norms that influence worker decision-making to improve the safety of workers. Using Labour Process Theory highlights an important social dynamic within workplace sectors that could inform future development and implementation of multi-level and integrated public health strategies to reduce work-related head injury.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".