Vestas and the Indigenous Communities in Oaxaca, Mexico:Clean Energy gets Messy
Bibliographic record
Abstract
Vestas was to start delivering 132 V90-3.0 megawatt (MW) turbines in the second quarter of 2012. The turbines were to be installed in the Isthmus of Tehuantepec region of Oaxaca, a southern state in Mexico. However, on 17 October 2012, Vestas’s deliveries were put on hold when social organisations and 40 indigenous Zapotec and Huave people held rallies in front of the Danish Embassy in Mexico City. With banners and placards, the protestors demanded Vestas’s exit from the Isthmus of Tehuantepec. The indigenous people suggested that although European companies had traditionally been present in Mexico and were among the most experienced wind developers in the world, 'their capitalist model' failed to take into account, 'the spiritual and social ties between the indigenous rural communities and the land'. According to local residents, the basic problem was a clash of cultures. This case can be analysed taking into consideration different perspectives, such as: 1) social movements, 2) development, 3) business models, 4) international business, 5) institutions and governance, and 6) corporate social responsibility. An additional angel that could be considered is the communication process and stakeholder involvement between MNCs, governmental officials and local communities, when implementing large-scale investment projects. The case presents a conflict which involves four actors: 1) Indigenous communities in the Isthmus of Tehuantepec region in Oaxaca, Mexico: Zapotecas, Huaves or Ikoot, 2) The Mexican Government 3) VESTAS, and 4) Marena Renovables.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".