Suitability of hazard rating systems for air contamination from municipal solid waste dumps and improvements to enhance performance
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
Close vicinity of uncontrolled municipal waste sites (or ‘waste dumps’) to well-populated communities makes the air contamination a prominent hazard from the waste dumps. The hazard rating systems, considered useful in prioritizing these sites for remediation, are investigated for their suitability to assess air contamination of municipal solid waste (MSW) dumps. Out of the eight systems employed in the study, six rating systems respond well to changes in site conditions when applied to hazardous waste sites. However for MSW sites, all eight rating systems give scores in a narrow range and do not perform well. One system is selected for improvement by modifying the indicators for waste quantity and rainfall and, introducing the indicators for waste composition and fresh waste quantity using expert judgment. The modified system performs well for MSW dumps, produces air contamination hazard ratings in a wider range, and responds to higher number of scenarios in sensitivity analysis, thus making it an appropriate tool for site prioritization for remediation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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