Tailing dams’ accidents and compliance failures: A study in Brazil and Canada
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
The mining is an activity of importance to the world economy moving billions of dollars/years and employing a network of people. After the tragedies observed in Brazil over mining dams, reflections have been raised about the safety of these environments and their impacts on the environment. This paper focused on compliance weakness on tailing dams' regulations in Brazil and the impacts of environmental accidents in Canada. Besides that, it did a bibliometric analysis with tailing dams’ strings/terms relationed and a comparative Brazil-Canada, a developed country where a similar accident with a tailing dam happened. It discussed the following topics: Salient keywords and Emerging themes, temporal and geographical distribution of publications; growth publication; word cloud, the federal legislation, and instruments for safety of dams, regulations, and the role of inspections agencies, tailing dam accidents and the Canadian scenario of mining regulations and make a comparison between these two countries.
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