Buenas prácticas que favorezcan una minería sustentable: la problemática en torno a los pasivos ambientales mineros en Australia, el Canadá, Chile, Colombia, los Estados Unidos, México y el Perú
Bibliographic record
Abstract
En el presente estudio se analiza el gran legado de pasivos ambientales mineros (PAM), producto de siglos de explotacion minera, que en muchos casos se llevo a cabo de una manera precaria, con bajos niveles tecnologicos y sobre todo, con una notable falta de regulaciones ambientales. En particular, el analisis se concentra en los casos particulares de Australia, el Canada, Chile, Colombia, los Estados Unidos, Mexico y el Peru. La actividad minera ha generado importantes beneficios economicos para muchos paises mineros desarrollados y en vias de. No obstante, los costos socio-ambientales, financieros y economicos que esta industria ha generado, han sido altos. En este estudio se busca reflexionar en torno a como la implementacion de buenas practicas mineras puede evitar la generacion de nuevos PAM para de esta manera se pueda lograr un verdadero desarrollo sustentable.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".