The Protection of Forest Biodiversity can Conflict with Food Access for Indigenous People
Bibliographic record
Abstract
International protected area (PA) management policies recognise the importance of respecting Indigenous rights. However, little research has been conducted to evaluate how these policies are being enforced. We evaluated whether Indigenous rights to access traditional food were being respected in La Amistad Biosphere Reserve, Costa Rica. By examining land management documents, we found that PA regulations have the potential to restrict traditional food access because these regulations ban shifting agriculture and heavily restrict hunting; these regulations do not address the harvest of edible plants. By working with Bribri people, we found multiple negative impacts that PAs had on: health, nutrition, passing on cultural teachings to youth, quality of life, cultural identity, social cohesion and bonding, as well as on the land and non-human beings. We propose three steps to better support food access in PAs in Costa Rica and elsewhere. First, a right to food framework should inform PA management regarding traditional food harvesting. Second, people require opportunities to define what harvesting activities are traditional and sustainable and these activities should be respected in PA management. Third, harvesting regulations need to be clearly communicated by land managers to resource users so people have the necessary information to exercise their rights to access food.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 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".