Bloody Lucky: the careless worker myth in Alberta, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As the Canadian province of Alberta has adopted neoliberal prescriptions for government, it has increasingly attributed workplace injuries to worker carelessness. Blaming workers for their injuries appears to be part of a broader strategy (which includes under-reporting injury levels and masking ineffective state enforcement with public condemnation of injurious work) to contain the potential political consequences associated with unsafe workplaces. This reflects the state's sometimes conflicting goals of maintaining the production process and the political legitimacy of the government and the capitalist social formation. This case study considers the political dynamics of occupational health and safety in Alberta to understand the escalating use of the careless worker myth over time. Alberta's emphasis on employer self-regulation has resulted in a large number of annual workplace injuries. The 2008 "Bloody Lucky" safety awareness campaign intensified this attribution of blame via gory videos aimed at young workers. This case study examines the validity of this attribution to reveal that this campaign provides workers, particularly young workers, with inaccurate information about injury causation, which may impede their ability and motivation to mitigate workplace risks.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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