The June 2021 British Columbia heat dome: A social autopsy
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
Climate change and its associated extreme heat is one of the greatest risks to public health today. The sharp increase in mortality during the June 2021 British Columbia (BC) heat dome revealed inequities further exacerbated by the social and structural determinants of health. The fundamental causes of health injustices are well-established; however, contemporary solutions, such as increasing access to greenspace, require decisionmakers to pay close attention to structural and political determinants that continually perpetuate negative health outcomes. By conducting a social autopsy of the community deaths from the BC heat dome, we illustrate how material deprivation, social isolation, and access to greenspace are key risk factors that are the result of longstanding colonial legacies. Without paying close attention to this relationship, climate-health response risks further exacerbating inequities.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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