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Record W2312353973 · doi:10.3354/meps11049

Trends in global shared fisheries

2014· article· en· W2312353973 on OpenAlexaff
LSL Teh, UR Sumaila

Bibliographic record

VenueMarine Ecology Progress Series · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFisheryFisheries managementFishingGeographyFisheries lawFisheries scienceFish stockEquity (law)BusinessPolitical scienceBiology

Abstract

fetched live from OpenAlex

Shared fisheries involve fish that are caught in the marine waters of more than one country, or in the high seas. These fisheries are economically and biologically significant, but a global picture of their importance relative to total world fisheries catch and economic value is lacking. We address this gap by undertaking a global-scale analysis of temporal trends in shared fisheries species catch and landed value from 1950 to 2006. We find that (1) the number of countries participating in shared fisheries has doubled in the past 55 yr; (2) the most commonly targeted shared species have shifted from those that were mainly restricted to the North Atlantic to species that are highly migratory and are distributed throughout the world; (3) countries which account for the highest proportion of global shared fish species catch and landed value tend to be large industrial fishing powers, whereas those which are most reliant on shared fisheries at a national scale are mainly smaller developing countries. Overall, our findings indicate the increasing need to accommodate a greater number and diversity of interests, and also consider equity issues in the management and allocation of internationally shared fishery resources.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.536
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0540.000

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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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

Citations24
Published2014
Admission routes1
Has abstractyes

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