Agro-pastoralists turned fishermen : socio-economic and environmental changes in the buffer zone of Coiba National Park, Panama
Bibliographic record
Abstract
In upcoming decades, the conservation and sustainable use of coastal and marine resources will become a major political and environmental challenge, as two-thirds of the world's population lives in coastal zones. The issue will likely become more problematic in developing countries, where an important number of coastal inhabitants still rely on marginal extractive activities such as fishing, farming and cattle ranching for subsistence, and where the rural poor's demand for development often lead to unsustainable extractive practices. Thus, innovative solutions need to be developed to ensure the long-term conservation and sound management of marine and coastal resources. This Masters thesis addresses the case of Coiba National Park, a marine protected area located in the Gulf of Chiriqui, Panama, and its relationship with coastal fishing and farming communities located at its outskirt. Particularly, this thesis aims to discover the drivers that pushed an important number of coastal agro-pastoralists of Coiba National Park's buffer zone to switch to artisanal fishing over the past three decades, and to determine the social, economic, and environmental impacts that resulted from that switch. In addition, this thesis analyses the relationship between Coiba National Park's authorities and buffer zone communities, and how this relationship has evolved over the years as more and more resource-users exploit the marine resources of the park. Finally, this work analyses Coiba National Park's current management strategy, how park authorities have been able to adapt their planning and management activities over the years, and explores alternatives to improve Coiba National Park's management strategy so that it can better adapt to the ever changing social, economic, and environmental conditions in which Coiba National Park's buffer zone operates.
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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 | 0.000 | 0.000 |
| 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".