Theme Session I_Approaches to the inclusion of Indigenous and local knowledge in fisheries management and policy development
Bibliographic record
Abstract
Book of abstracts of theme session I:Approaches to the inclusion of Indigenous and local knowledge in fisheries management and policy developmentConveners: Daniel Goethel (USA), Karen Dunmall (Canada), Stine Rybråten (Norway), Kristen Omori (USA), Rachael Cadman (Canada), Aaron Berger (USA), Curry Cunningham (USA)Doing ‘Treaty’ in the 21st Century The Wheel of Fishers’ Knowledge: A Tool for Conceptual & Analytical Advances From Sea to Citation: A Bibliometric Review of Fishers’ Knowledge Research Integrating Fishermen’s Knowledge into Standardized Catch Rates for a Monkfish Fishery Developing an interactive on-line platform to engage an interdisciplinary community and collect local knowledge on the issue of bycatch Fisheries local ecological knowledge in the eastern Adriatic Sea (Croatia) Mechanisms for Integrating Indigenous and Local Knowledge in Fisheries ManagementInclusion of Sami and local knowledge in northern fisheries management and policy developmentA Bayesian approach to include Indigenous Knowledge in habitat selection functionsThe river in crisis – local and indigenous knowledge in mitigating the collapse of native Atlantic salmon and the surge of invasive pink salmonToward epistemic governance: Integrating scientific, Indigenous and local knowledge for the recovery of salmon fishing culture at the Teno River, FinlandElucidating the Dynamics of Coastal Sharks and an Expanding Recreational FisheryHabitat and reef fish relative abundance can be validated from stakeholder knowledge in the US South Atlantic regionSocioeconomic consequences of Sardina pilchardus (Walbaum, 1792) decline on the purse seiners activity and workers along the Southern Alboran SeaAssessing the role of kelp for small-scale fisheries by combining fishers’ knowledge of spawning locations with modelled kelp distribution Braiding Indigenous Knowledge Systems and Western science to inform collaborative fisheries management in the territory of Kitasoo Xai’xais First NationIndigenous knowledge systems and ecosystem-based management: a path towards co-governance? Indigenous knowledge-based adaptation strategies for Arctic food security amid non-climatic stresses A Case for A-AAGORA - An innovative gamification approach for public mobilization, engagement, education and to include local knowledgeA multi-lensed approach to studying the overwintering behaviour of juvenile ji’kaw (Morone saxatilis) in Mi'kma'ki, Eastern CanadaSpeaking from the Heart: Centering Traditional Users’ Desired Outcomes in Yukon River Chinook Salmon AllocationSubsistence fisheries in Small Island Developing States: the case study of the goby-fry fishery of São Tomé and PríncipeProject Eisirean | Native Oysters: integrating traditional ecological knowledge in nature restoration work through Scottish place-namesNavigating the Uncertain: Integrating Indigenous and Coastal Community Perspectives for Actionable Arctic Ocean Pathways
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How this classification was reachedexpand
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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.106 | 0.017 |
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 source (direct Gemma or distilled Codex), 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".