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Fisheries Co-Management and Legal Pluralism: How an Analytical Problem Becomes an Institutional One

2009· article· en· W2027201860 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Organization · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPluralism (philosophy)Legal pluralismFisheries managementPolitical scienceLaw and economicsPositive economicsEconomicsSociologyFisheryEnvironmental ethicsBusinessEnvironmental resource managementPublic economicsEpistemologyFishingLawLegal researchBiologyPhilosophy

Abstract

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This paper addresses two issues pertaining to legal pluralism in capture fisheries, particularly with regard to the South. First there is the problem of analysis. If legal pluralism is a common phenomenon, how is it to be discerned and understood? Secondly, there is the matter of institutional design: given the pervasiveness of legal pluralism, which management institutions are better suited to represent and resolve inter-legal system differences? The authors argue the case of co-management. Drawing on examples and insights from a comparative research project in South Asia, four basic types of legal pluralism and co-management are distinguished. The authors conclude that co-management is a process that brings legal systems, and their constituent organizations and groups, together within a single framework. For fisher organizations, which frequently have distinct legal perspectives, co-management is an essential path to legitimacy. For the state, other legal systems are a resource that management can draw upon.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.818

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.299
Teacher spread0.270 · 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