Blast Induced Seismic Response at the Goldcorp Eleonore Mine: Identification, Delineation and Characterization
Bibliographic record
Abstract
Seismicity in the mining environment is controlled by factors including stope and development blasting, the presence of geological features, and stress conditions. The Goldcorp Eleonore mine is located in the James Bay region, Quebec, Canada. It’s 800-metre depth makes Eleonore a relatively shallow mine when compared to other seismically active Canadian mines. Despite the mine’s depth, seismicity is a geotechnical hazard that may be arguably attributed to a particular stress regime and complex geology. An improved understanding of the seismic responses following blasting can decrease seismic risk and is beneficial to mine planning and productivity. Seismic responses to blasting were spatially delineated using a density-based clustering approach. The spatial characteristics of clusters were assessed using Principal Component Analysis (PCA). The best-fit planar representation of seismic event clusters was identified. The orientation of the best-fit planar representations was then compared to the mine’s local jointing to investigate the causative seismic source mechanism for these events. The results of this study show that seismicity is linked to local jointing, and in particular to the different structural domains.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".