Time to Treat the Climate and Nature Crisis as One Indivisible Global Health Emergency
Bibliographic record
Abstract
The Impacts on HealthHuman health is damaged directly by both the climate crisis, as the journals have described in previous editorials, 8,9 and by the nature crisis.10 This indivisible planetary crisis will have major effects on health as a result of the disruption of social and economic systems-shortages of land, shelter, food, and water, exacerbating poverty, which in turn will lead to mass migration and conflict.Rising temperatures, extreme weather events, air pollution, and the spread of infectious diseases are some of the major health threats exacerbated by climate change.11 "Without nature, we have nothing," was UN Secretary-General António Guterres' blunt summary at the biodiversity COP in Montreal last year.12 Even if we could keep global warming below an increase of 1.5 °C over preindustrial levels, we could still cause catastrophic harm to health by destroying nature.Access to clean water is fundamental to human health, and yet pollution has damaged water quality, causing a rise in water-borne diseases.13 Contamination of water on land can also have
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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 | 0.011 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.022 | 0.026 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.030 | 0.053 |
| Insufficient payload (model declined to judge) | 0.026 | 0.012 |
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".