LEGISLACIÓN COLOMBIANA DE CIERRE DE MINAS. ¿ES REALMENTE NECESARIA?
Bibliographic record
Abstract
Mine closure is an strategic component of any mining project. Today is inadmissible a project that does not provide from its conception, all technical, political, social and economic aspects on the progressive closure or end of the mining. Australia, Brazil, Canada, Chile, Peru, among other countries, have ordered their legislation as a strategy for mining. In Colombia there is a scattered legislation that in practice involves all subjects, among them are: soil, air, discharges, and emissions. The Colombian Constitution, laws, acts-laws, acts and resolutions regulate aspects that, according to the authors' analysis, involving the different aspects of mine closure, so that would not be necessary to issue specific legislation for this subject, unlike countries such as Chile and Peru; similarly, do not require a law on opening mines. It would be advisable that the Ministry of Mines and Energy Mining prepare a fourth Guide (of three existing, whose preparation was the joint responsibility of the Ministry of Mines and Energy, and the Ministry of Environment and Sustainable Development) on the different legal provisions governing for closure of mines, and reinforce guarantees and monitoring program on the long-term.
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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 | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".