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
One of the most common methods that are practiced today for controlling violent rock failures in underground mines is destress blasting. One aspect of this method involves drilling and blasting areas that are stiff and highly stressed such as pillars, mining fronts and shaft sinking floors, to help dissipate high stress and energy accumulation, thus rendering a safer mining environment. Another aspect of the method relies on large scale blasting of one or more slots or panels near the active mining area to create a stress shadow around it and help reduce the stress and energy concentration. While the merits of the destress blasting method are conceptually well appreciated by many mines, its efficient implementation in the field has been hampered by the diversity of available information, the scarcity of well-documented destressing programs, as well as the absence of a dedicated design/analysis method. This has made the destress blasting method more like an art than an engineering science. This paper reviews the background theory, benefits, constitutive modelling, and practice of destress blasting. Current research on the evaluation of the destress blasting efficiency is discussed, and future research directions are highlighted.
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) | 0.000 | 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