El megaproyecto minero de Aznalcóllar: lodos, consenso y vuelta a empezar
Bibliographic record
Abstract
Se realiza la crónica de los hechos fundamentales del conflicto ambiental de la mina de Aznalcóllar (Andalucía, España), desde los años previos a la rotura de su balsa de lodos en 1998 hasta la actualidad. En esa fase, la Administración, con el acuerdo de todos los partidos políticos, apuesta por la reapertura de la mina. Ello supondrá que a las externalidades ya consumadas y los riesgos fatalmente cumplidos se sumen otros nuevos. Sólo una voz discordante, muy minoritaria, de las organizaciones ambientalistas se desmarca del consenso prominero. ¿Cómo explicar la extendida aceptación de la apuesta minera en un proyecto cuyos datos brutos lo sitúan entre los más riesgosos de los muchos previstos actualmente en España?
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".