Identifying opportunities toward conflict transformation in an Orca‐Salmon‐Human system
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Conservation interventions increasingly clash with other human activities, often resulting in conflict among people, communities, and wildlife. One means by which to address and overcome conflicts is through examining their roots in identities and beliefs; in this way, researchers can identify potential routes to conflict interventions that address different kinds—and levels of—conflict often ignored in conventional management. In the Salish Sea region, conflict has emerged following measures by Canada's Department of Fisheries and Oceans that restrict recreational Chinook ( Oncorhynchus tshawytscha ) fishing to protect endangered Southern Resident Killer Whales ( Orcinus ater ). Public response has been conflict‐laden, especially between “angler” and “conservation‐supporter” communities—stakeholder groups portrayed in the media as distinct and opposed. We used online surveys to examine the identity, beliefs, and opinions of stakeholders. Most survey participants ( n = 727) self‐identified saliently as either conservation‐supporters (53%) or anglers (34%), although some held both identities. Both groups scored similarly high in environmental and stakeholder identity affiliation scores, also showing association between the intensity of identities with public engagement in management discourse. Groups differed strongly (χ2 = 156.27, p <.001) in management beliefs, with conservation supporters favoring core management priorities of species conservation, while anglers favored a balanced or natural resource‐oriented approach. Despite divergences in beliefs and management priorities, more individuals self‐identified as both anglers and conservation‐supporters than one would expect based only on existing media portrayals. Ultimately, our results identify conflicts between stakeholder groups as deeply‐embedded. Commonalities (in identities and beliefs regarding Chinook), however, suggest a path forward that draws on conservation conflict transformation theory. Broadly, our approach offers new generalizable insight into the levels‐of‐conflict framework to inform scholarly and practical endeavors.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| 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 it