The Practice of Co-Production through Biocultural Design: A Case Study among the Bribri People of Costa Rica and Panama
Bibliographic record
Abstract
Research in co-production has given rise to a rich scientific literature in sustainability science. The processes by which co-production occurs are not well documented. Here, I present my work with the Bribri people to undertake a biocultural design project. Biocultural design is a process that begins with understanding participants’ aspirations to support their livelihoods. The process is collaborative, imagining ideas and executing products and services by drawing upon the capabilities of the participant’s biocultural heritage. In the Bribri territory, the biocultural heritage associated with cacao agroforestry systems is considered significant for Bribri livelihoods. Bribri people’s aspirations to grow cacao go beyond increasing cacao yields and include the respect for cultural teachings and social relationships. The participants of this project designed cacao value-added products (e.g., cacao jam, cacao butter) and services (e.g., showcase farm) by identifying viable ways to execute their ideas. Biocultural design offers a guide to co-imagine and co-execute ideas to solve specific problems and contributes to the practice of co-production by offering an approach that recognizes the value of science, while respecting the knowledge, aspirations and values of other actors.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".