Environmental change and resource access in aquatic food systems: a Photovoice case study of Cambodian fisheries
Bibliographic record
Abstract
Ecosystem services and the biodiversity that supports them directly provision food and livelihoods to millions around the world within environments increasingly facing multifaceted changes. Yet the perspectives of resource users on the value of those resources and the challenges they face amid social-ecological change are still too often poorly understood. In this study, we use Photovoice methodology and a social-ecological systems perspective to understand the value of access to fish resources and the impacts of changing access for small-scale fishing communities in Cambodia. Contrasting the perspectives of households in different ecological settings, including adjacent to the Tonle Sap Lake and within its floodplain, revealed stark differences in the experiences of regulation enforcement and fisheries management for communities that had viable alternatives to fishing compared to those without options beyond fishing. The study addresses the need to understand both the lived experiences of those on the frontlines of environmental changes, and to disentangle the heterogeneous experiences across and within communities to improve resource management and community support in complex, changing social-ecological systems.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".