Creating a Stakeholder Table, Identifying Hidden Stakeholders, and Exploring Relational Interventions for the Bayano Region of Panama
Bibliographic record
Abstract
The Bayano region, in Panama, has been linked to many different stakeholders who were or are influenced by the Bayano dam, which was completed in 1976 and flooded a large area. Stakeholder Tables are a good way of exploring the views of stakeholders and their relationships. They can also help in identifying Hidden Stakeholders. Hidden Stakeholders refer to stakeholders who use or are impacted by regions or events, but are generally ignored. In this study, several sources, including discussions with community members and workshop results, were used to develop a Stakeholder Table for the Bayano region. Stakeholders include displaced Guna and Embera indigenous communities. In order to identify Hidden Stakeholders, the table was applied to relevant court cases and agreements, with Hidden Stakeholders being those who were not addressed in these documents. Hidden Stakeholders include indigenous individuals who raise cattle or are involved in tree felling, along with tourism industries. Using some follow-up workshops to collect potential interventions, a Relational Values approach was used to find sustainable projects and methods that can target multiple Hidden Stakeholders at the same time.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".