Mapeo colaborativo de resistencias a los impactos y discursos de la minería para la transición energética en las Américas
Bibliographic record
Abstract
Resumen: El Banco Mundial estima que durante los próximos treinta años será necesario extraer 3000 millones de toneladas de metales y otros minerales para impulsar el proceso de transición energética mundial. Entre los principales minerales críticos, se encuentran el cobre, el litio, el grafito, el cobalto, el níquel y las tierras raras. Durante 2021, comunidades afectadas y movilizadas por la creciente presión para extraer algunos de estos metales estratégicos en nueve países de las Américas (Argentina, Chile, Bolivia, Perú, Ecuador, Panamá, México, Estados Unidos y Canadá) y los equipos del Atlas de Justicia Ambiental y MiningWatch Canada trabajaron en un proceso de mapeo colaborativo de veinticinco casos. Se presentan aquí los resultados de este esfuerzo colaborativo, destacando algunos de los desafíos que plantea la expansión de la frontera extractiva impulsada por la demanda de materiales para la transición energética en las Américas (y más allá). Palabras clave: transición energética, extractivismo, EJAltas, conflictos mineros, litio, cobre, grafito Abstract: The World Bank estimates that over the next 30 years it will be necessary to extract 3 billion tons of minerals and metals to feed the global energy transition. Critical metals and minerals include copper, lithium, graphite, cobalt, nickel, and rare soils. During 2021, communities affected and mobilized by the growing pressures to extract some of these strategic metals in nine countries of the Americas (Argentina, Chile, Bolivia, Peru, Ecuador, Panama, Mexico, the United States, and Canada), the teams of the Environmental Justice Atlas and MiningWatch Canada developed a collaborative mapping of 25 cases. The results of this collaborative work are presented here, highlighting some of the challenges posed by the expansion of the extractive frontier driven by the demand for materials for the energy transition in the Americas (and beyond). Keywords: energy transition, extractivism, EJAtlas, mining conflicts, lithium, copper, graphite
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".