Bibliographic record
Abstract
Despite all claims to the contrary, flyrock debris is an inherent and unavoidable byproduct of blasting operations. Wherever blasting occurs, flyrock debris is sure to follow. It is influenced by numerous and unpredictable factors, including blast design limitations, uneven energy distribution, varying atmospheric conditions, human or operational errors, and the inherently dynamic nature of blasting, Additionally, geological inconsistencies, such as variations in rock density, fractures and fault lines, further amplify the unpredictability of flyrock incidents. Flyrock debris poses significant risks to safety, infrastructure, and nearby properties. While blasting has other adverse effects, flyrock is considered the most dangerous due to its potential to injure, permanently disable, or kill on contact. It is responsible for the majority of onsite and offsite injuries and fatalities in blasting operations, many of which could be prevented by enacting mandatory minimum onsite setbacks and mandatory minimum offsite separation distances from sensitive land uses and activities. In Ontario, flyrock remains undefined under the Aggregate Resources Act (ARA), effectively allowing the aggregate industry to avoid regulatory oversight. If flyrock incidents do not result in debris leaving the site or causing injury or death, they remain concealed from the public and unreported to regulating authorities. This lack of mandatory disclosure exacerbates the issue, leaving communities vulnerable to unaddressed hazards. The implementation of mandatory minimum setbacks and separation distances is essential to safeguarding the safety of workers and surrounding communities.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.037 | 0.019 |
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".