Screening Workplace Disaster: The Case of Only the Brave (2017)
Bibliographic record
Abstract
Abstract Media influence how we define and engage with our world, shaping our interpretations, attitudes, behaviours. Feature films in which work-related injuries, deaths, and disasters are the storylines can convey occupational safety messages to large, diverse audiences. Films can entertain, act as “powerful” and “poignant” memorials to workers, heighten peoples’ awareness of events, and even deepen their understanding of the causes of workplace disasters. However, it is unclear how films actually represent the complexities of workplace injury and industrial disaster. We examined the film Only the Brave (di Bonaventura, Luckinbill (Producers), Kosinski (Director) in Only the Brave [Motion Picture] (Columbia Pictures, United States, 2017)), which recounts the story of the deaths of 19 wildland firefighters in America. In particular, we examine how the film portrays workplace disaster and the factors which led up to the event. We discuss some strengths and limitations of feature films as a form of visualizing workplace disaster.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".