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Record W2274047476

Discards and revenues in multispecies groundfish trawl fisheries managed by trip limits on the U.S. West Coast and by ITQs in British Columbia

2006· article· en· W2274047476 on OpenAlexaboutno aff
Trevor A. Branch

Bibliographic record

VenueOpen University of Cape Town (University of Cape Town) · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsGroundfishFisheryDiscardsGeographyBycatchWest coastOceanographyEnvironmental scienceFish <Actinopterygii>Fisheries managementBiologyFishingGeology
DOInot available

Abstract

fetched live from OpenAlex

The problem of multispecies fisheries, in which more productive and less productive species are caught together, is approached differently in the multispecies groundfish trawl fisheries of the U.S. West Coast and British Columbia (B.C.). In 1997 their management systems diverged: the former continued using trip limits, but the latter turned to individual transferable quotas (ITQs) combined with full observer coverage and the deduction of marketable discard mortality from quotas. U.S. requirements to rebuild overfished West Coast species have led to reduced trip limits, restrictions on fishing gear, and large area closures, which have decreased catches of species that are not overfished, increased discards of marketable fish, and decreased per-vessel groundfish income to US$220,000. In B.C., total catches have remained stable while individual incentives to retain marketable catches and to improve economic efficiency resulted in low marketable discard fractions, increased ex-vessel prices, and higher per-vessel revenue (US$420,000–US$500,000). If the B.C. system were implemented in the West Coast fishery, total revenue would probably improve through increased use of species that are not overfished, lower marketable discard fractions, and higher ex-vessel prices. Revenue increases may be hampered by restrictions imposed by the overfished species, but would probably exceed the additional observer costs.

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: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.994

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.175
Teacher spread0.166 · 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

Citations22
Published2006
Admission routes1
Has abstractyes

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