The Institutionalisation of Bioculturalism through Community Protocols: The Case of Guna Yala
Bibliographic record
Abstract
Community Biocultural Protocols (CBPs) are environmental governance mechanisms for biodiversity that aim to establish, at the local community level, a normative framework for the central themes discussed in the framework of the Convention on Biological Diversity (biodiversity conservation, traditional knowledge, prior and informed access, benefit sharing, agro-biodiversity conservation, etc.). This article aims to shed light on the local implementation of this type of protocol in the Indigenous territory of Guna Yala (Panama). It allows us to place the specific mechanism of the CBPs in the long history of the Gunadulegan with regard to relations with scientific circles and the question of the coupling between biological and cultural diversity. It is also an opportunity to contribute to a reflection on the institutionalisation of the idea of bioculturalism.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.032 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".