Addressing Poverty and Homelessness is Central to an Equity-Focused Response to Climate Change: Considering Canada as an Example
Bibliographic record
Abstract
People experiencing poverty are highly exposed to climatic events due to multiple intersecting factors. This commentary centres on poverty, generally, and homelessness, specifically in considering the impacts of climate change on health equity in Canada. We propose prioritizing poverty reduction and prevention over emergency response through measures such as universal basic income and enhanced housing standards. Such work can be grounded in inclusive assessments of risks and leveraged interventions, Indigenous leadership, intersectoral collaboration, and community engagement. We argue that it is essential that we move beyond the current, broad awareness of climate change as a threat multiplier with an emphasis on individual responsibility and the “othering” of people experiencing poverty. What is needed is a clear, systems-focused action fundamentally different from the pace and nature of the work done to date.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.016 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 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".