$ ELSEVIER Available online at www.sciencedirect.com
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
The Jharia Mine Fires are located in the Jharia Coalfield in the state of Jarkhand (formerly Bihai-), India. These fires have been thoroughly investigated by teams of consultants from the United States and Canada, representing the best expertise and technology available anywhere. The recommendations resulting from the investigation have largely gone unheeded. Recognition of the magnitude of the problem with all its manifestations placed a daunting burden on both the Indian government and coal industry resulting in a policy to do little or nothing. Alternative mitigation efforts outside the scope of the project have been identified that could ameliorate the effects of the fires and benefit the region, its inhabitants and the mining industry. Innovative methods of funding are required to implement projects that result in a broader based distribution of benefits. If nothing is done, then further disruptions, disasters, loss of resources and human suffering will continue.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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