Identification of Land Subsidence and Management Using Cadastral Techniques, Mining Area of Raniganj, Barddhaman District, India
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
Coal mining, open crest/underground adversely affects the Eco-system. Raniganj area known as mining zone, but several time natural hazards (land subsidence) occurs in the area, Subsidence in old workings leads to severe damage to surface structures. it is very much important that suitable assessment studies to learn the potential adverse impact of mining on environmental ecosystem (flora, fauna). In the subsequent discussions an attempt has been made to clarify the coal mining activities and its outstanding impact on environment and agricultural activities. The study area region being the foremost coal producing region country, it’s also ranked high in the list of environmentally degraded areas, in mining area have seen that waste materials are usually stacked as huge dumps in surroundings. After that those dumps were coupled with coal dumps, because this significant effect impact on land. The environmental awareness is given our society brought life from mining area another concerted effort for reclamation of the subsided land.
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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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