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
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
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it