Social, Environmental and Economic Externalities Related to the Implementation of Wind Energy Projects on the Isthmus of Tehuantepec
Bibliographic record
Abstract
This study aims to analyze the economic, social, and environmental impacts caused by the development of wind projects in the Isthmus of Tehuantepec, in the Southwest of Mexico and, simultaneously, to evaluate, in a synergistic way, wind energy as an effectively viable option for the Mexican energy matrix by mapping and analyzing socio-environmental and economic externalities. The development of these parks represents, in this region of the country, a successful model for reducing GHG emissions, but there are controversies such as land displacement and lack of local development, which have generated socio-environmental conflicts that remain in force today. Therefore, the methodology adopted was based on a systematic literature review, as well as on the application of semi-structured interviews conducted in field research in situ. Because of this study, it was possible to increase the compression about the following paradox: the wind farms implemented in the Isthmus of Tehuantepec contribute to mitigating GHG emissions; however, according to the results of this work, this environmental benefit did not bring any improvement in their socioeconomic vulnerabilities to local communities.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".