Between Co‐Management and Responsibilisation: Comparative Perspectives from Two <scp><i>Reservas Comunales</i></scp> in the Peruvian Amazon
Bibliographic record
Abstract
Peru introduced co‐managed Reservas Comunales (Communal Reserves) as an alternative to the ‘fortress conservation’ approach that characterises other protected areas where Indigenous Peoples tend to be excluded from both the physical space and managerial aspects of conservation regimes. Although these Reserves are lauded internationally as supporting Indigenous Peoples' self‐determination, this article examines the challenges that arise from the cogestión (co‐management) regime for Indigenous organisations and communities. Focusing on the ‘responsibilisation’ relationships created in the co‐management of two Communal Reserves, the article reflects on the different trajectories of this transfer of responsibilities, and the processes through which Indigenous co‐management organisations are expected to adopt the government's conservation goals.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".