La Naturaleza vale Oro. Propuesta analítica para el estudio de la movilización social en torno a la minería canadiense en San Luis Potosí
Bibliographic record
Abstract
From some of general foundations of the theory of the society of risk, by Ulrich Beck in the eighties, this article sets forth a proposal to analyze the process of social mobilization resulted from the collective construction of a rejection of the methods of insertion, exploitation and transformation of the landscape by the Canadian mining near of the city of San Luis Potosí. With an emphatic glance of the conflict, from the discursive strategies of three key actors in the case: the State, the Canadian mining company and local society, in different forms such as boards of collectives and defence fronts, are the phases in which breaks down the process of conflict, then identifies which of these the discourse of environmental risks is on the base or the focus of the opposition and represented in the figure of the Broad Opposition Front (fao) to the Minera San Xavier. Towards the end, from the case study, we propose that local societies such as the of the Valley of San Luis Potosí, are so recent rejection of the methods currently used by Canadian mining companies, such as the emergence of the social perception of the institutions of the State at various levels, are producing and legitimizing of hazards and risks to the extent that are based on an essentially economic rationality
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".