La politización del agua en los conflictos por la megaminería: Discursos y resistencias en Chile y Argentina
Bibliographic record
Abstract
Politicizing water in mining conflicts: Discourses and resistances in Chile and ArgentinaThe last two decades have seen a proliferation of socioenvironmental conflicts in relation to the expansion of mining activity in Latin America. In this context water stands out as a central axis and common denominator. The existing academic literature documents the impacts on water generated by mining activity, the social movements that have arisen in response to such impacts, and the responses of the State to the conflicts that have emerged in relation to water resources. What has received less attention is the discursive construction of the water issue by the actors mobilized in its defence; our objective is to contribute to strengthening the research agenda in this dimension. We address this issue through a comparative study between cases from Chile and Argentina. There we find a variety of discourses related to water: scarcity, contamination, the vulnerability of glaciers, and water as a referent for territory. We aim to identify the ‘political productivity’ of these discourses: their role in the conceptualization of water by political actors, in the strategies of social movements for the defence of water, in the evolution of debates about the use and protection of the resource, and in the formation of public policy to regulate the relationship between water and mining activityResumenLas últimas dos décadas han visto una proliferación de conflictos socioambientales en relación a la expansión de la actividad minera en Latinoamérica. En este contexto el agua se destaca como eje central y común denominador. La literatura académica existente documenta los impactos generados al agua a causa de la actividad minera, los movimientos sociales que han surgido en respuesta a tales impactos, y las respuestas del Estado a los conflictos que han emergido en torno al recurso hídrico. Lo que ha recibido menos atención es la construcción discursiva de la problemática del agua por los actores movilizados en su defensa; nuestro objetivo es contribuir al fortalecimiento de la agenda investigativa en esta dimensión. Abarcamos esta problemática a través de un estudio comparativo entre casos provenientes de Chile y Argentina. Allí encontramos una variedad de discursos relacionados con el agua: la escasez, la contaminación, la vulnerabilidad de los glaciares y el agua como elemento central del territorio. Pretendemos identificar la ‘productividad política’ de estos discursos: su rol en la conceptualización del agua por actores políticos, en las estrategias de movimientos sociales para la defensa del agua, en la evolución de los debates en torno al uso y protección del recurso, y en la formación de políticas públicas para regular la relación entre agua y la actividad extractiva minera.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".