Beyond the Single Story of Climate Vulnerability
Bibliographic record
Abstract
Health. Disability. Vulnerability. These words are often used when discussing the risks of climate disruption. These discussions warn of the potential for climate impacts to “undermine 50 years of gains in public health” (as stated by the Lancet Countdown on Climate Change). Increasingly, such discussions also acknowledge climate injustice, examining who will benefit or lose out from climate change, how and why. The embodied vulnerability of disabled people is often assumed within such discussions, with less consideration of the social, economic or political conditions that create this vulnerability. By bringing disability justice and disability studies into correspondence with care, environmental and climate justice scholarship, this reflective paper challenges the master narratives that blur differentiated experiences of disability and climate impacts into a single story of inevitable vulnerability. Recognising disabled people as knowers, makers and agents of change, it calls for transformative climate action, underpinned by values of solidarity, mutuality and care.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.042 |
| Scholarly communication | 0.008 | 0.014 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.008 |
| 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".