Transient climate and ambient health impacts due to national solid fuel cookstove emissions
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
Significance Widespread use of solid fuels for cooking results in a significant source of anthropogenic emissions. Of foremost concern for indoor air quality, reductions to these emissions could also impact both climate and ambient air quality. These potential cobenefits are appealing to efforts aimed at reducing cookstove emissions on national to urban scales, but have yet to be comprehensively evaluated at these scales. We thus estimate the per cookstove impacts on ambient air quality and global mean surface temperature for every individual country with significant cookstove use, considering reductions to both aerosols and long-lived greenhouse gases over the next century. This estimation provides information for policy makers evaluating climate and ambient air quality cobenefits of cookstove intervention programs worldwide.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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