Bibliographic record
Abstract
The 7th International Symposium on Rockburst and Seismicity in Mines (RaSiM7) was held in Dalian, China, 21-23 August 2009. Past symposia have been held in South Africa in 1982; Minneapolis, USA in 1988; Kingston, Canada in 1993; Krakow, Poland in 1997; South Africa again in 2001; Perth, Australia in 2005. The event has long been an opportunity for researchers and industry professionals to meet and present the latest technical findings, and share ideas and experiences on one of the most complex technical problems facing mining and other rock engineering around the world. The theme of RaSiM7 is “Controlling Seismic Hazard and Sustainable Development of Deep Mines”, and the symposium program was developed to not just address the critical questions regarding mining-induced seismicity and rockburst, but also the related problems met in other civil engineering. Papers in the two volumes have been grouped in three parts: understanding seismic hazard, managing seismic hazard and dynamic behavior in civil engineering, with the third part particularly emphasized in coal outburst and water inrush in coal mining.
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.
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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".