Between Permanence and Adaptation
Bibliographic record
Abstract
In the Purepecha community of Cherán (Mexico), forest management is carried out through a community government, a system recognized in the Mexican law, and obtained by Cherán after the 2011 uprising in response to the looting of forests by organized crime. In this context, indigenous traditions and daily forest use practices have changed. This study illustrates how Cherán confronted a socio-environmental crisis and is recovering its means of social reproduction. Specifically, it analyzes community institutions, gendered-power relations, and indigenous rights in the context of community-government relationship to discuss the importance of eco-territorial strategies beyond resistance. Grounded on ethnographic observations, interviews, and literature review, this article illustrates a community’s experience of building a path toward autonomous forest management. The case of Cherán provides insights into the development of autonomous community forest management as well as its objectives and relations with forest sustainability.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".