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Record W4401912966 · doi:10.1002/fsh.11166

Stakeholder Engagement as a Core Component of Recreational Marine Fisheries Research, Education, and Conservation

2024· article· en· W4401912966 on OpenAlexaff
Aaron J. Adams, Ross E. Boucek, Justin P. Lewis, Steven M. Lombardo, Addiel U. Perez, JoEllen K. Wilson, Jacob W. Brownscombe, Lucas P. Griffin

Bibliographic record

VenueFisheries · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsStakeholder engagementStakeholderFisheryEnvironmental resource managementComponent (thermodynamics)RecreationBusinessFisheries scienceCore (optical fiber)Environmental planningMarine conservationGeographyFisheries managementEnvironmental sciencePolitical scienceFishingEcologyPublic relationsEngineeringBiology

Abstract

fetched live from OpenAlex

Abstract Effective modern conservation depends on active stakeholder participation. Although stakeholder engagement is increasing, the extent of this engagement and the successful application of outcomes to science and management varies regionally and among types of fisheries. A collaborative model that emphasizes knowledge coproduction with stakeholders better identifies research needs and conservation threats, and influences research and policy outcomes. Stakeholder integration can be facilitated by nongovernment organizations, such as boundary organizations. Bonefish and Tarpon Trust is a science-based, conservation organization founded in 1998 by recreational fishers and fishing guides that focuses on marine recreational fisheries in the Caribbean Sea and western North Atlantic Ocean. The Trust engages fishers directly, incorporating their knowledge and perspectives to identify conservation concerns, shape research, contribute to data collection, and disseminate information, and work with resource managers and scientific researchers to address conservation and management needs. This approach is demonstrated in case studies that show integration of recreational fishers in science, assessment of conservation threats, and application of findings to management for the recreational flats fishery in the Caribbean Sea and western North Atlantic Ocean, in the context of broader efforts of stakeholder collaboration toward actionable science to inform management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.107
GPT teacher head0.303
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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