A DISCUSSION ON CLASSIFICATION OF MINING-INDUCED SEISMICITY
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
Currently,the different methods for classification of mining-induced seismicity have no relation with each other.In order to be convenient for prediction,prevention and control of the mining-induced seismicity,based on the latest research results on the mechanism of the disasters,the classification of mining-induced seismicity is presented in this paper,following the principles of benefiting disaster prevention and control and non-conflicting to practices adopted both at home and abroad.The concept,principle and advantages of the hiberarchy classification of the mining-induced seismicity are given.5 classes and 16 types of mining-induced seismic events are classified based on the influence of in-situ tectonic stress field,physical and mechanical properties of rocks,rock mass structures,correlation between seismicity and mining activity,source of mining-induced stress change,and the locations of seismic sources and rock mass failure.The importance of regional tectonic stress field and stress change due to mining is emphasized in the mining-induced seismicity classification,research,and control.
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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 | 0.000 | 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) | 0.000 | 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