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Record W7101441961 · doi:10.21083/crrf.v27i1.8589

Local innovation and initiative to strengthen owner-operator policy and build resilient and equitable fisheries access rights

2025· article· W7101441961 on OpenAlexaffabout

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsEnforcementWork (physics)Corporate governanceProduct (mathematics)Control (management)Property rightsNova scotiaProcess (computing)

Abstract

fetched live from OpenAlex

Communities can build resilience by engaging in the governance process to ensure that their access to fisheries and coastal resources is local, culturally appropriate, and equitable between and within generations. But challenges lay ahead for governing access-rights as companies and actors from outside communities have sought out new instruments to control the fisheries value chain. While much of the discussion has focused on the distributional effects of quotas, companies continue to find loopholes to exert control over licenses, traditionally design to be owned and controlled by independent fishermen. Trust agreements, product agreements, controlling agreements, and sick days and vacation transfers are among the instruments used to undermine owner operator and fleet separation policies. Taken together, these informal property arrangements are a mirror of historical struggles between fishermen, buyers, marketers and wholesalers. We report on insights collected from field work in Southwest Nova Scotia and New Brunswick, and participation in policy forums and discussions among fishermen and DFO. Fishermen’s associations have played a vital role in crafting institutional innovations that build on the legal and enforcement limitations set by DFO officials. We recommend measures that further the capacity of associations and community groups to innovate and develop flexible and locally appropriate instruments to govern access to adjacent fisheries.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.266
Teacher spread0.234 · 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 designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Canadian Rural Revitalization FoundationSame topicBotany, Ecology, and Taxonomy StudiesFrench-language works237,207