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Record W4412177991 · doi:10.1038/s44183-025-00135-4

Unequal competition: the fate of domestic fisheries facing distant water fishing in the Southwestern Atlantic Ocean

2025· article· en· W4412177991 on OpenAlex
Adriana Rosa Carvalho, Sebastián Villasante, Natali Lazzari, Ibrahim Issifu, Arne Kinds, Patrícia Majluf, Maria Lourdes D. Palomares, Daniel J. Skerritt, Lubna Alam, Vicky W. Y. Lam, Eurico Mesquita Noleto-Filho, José Amorim Reis‐Filho, Louise Teh, Lydia C. L. Teh, U. Rashid Sumaila

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenpj Ocean Sustainability · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsOceans Limited (Canada)Fisheries and Oceans CanadaUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaFundação Amparo e Desenvolvimento da PesquisaEuropean CommissionHORIZON EUROPE Framework ProgrammeUnited States Agency for International Development
KeywordsFishingFisheryCompetition (biology)GeographyEcologyBiology

Abstract

fetched live from OpenAlex

The growing presence of Distant Water Fishing (DWF) fleets has intensified competition for marine resources, particularly where domestic fisheries operate under weak governance. This study examines the interaction between DWF and domestic fleets in the Central Southwestern Atlantic Ocean using 15 years (2001–2016) of tuna fishery data from the Sea Around Us database. Key findings show that DWF fleets are more efficient, with higher catch per unit of effort (CPUE), and have increasingly encroached into the exclusive economic zones (EEZs) and even the Territorial Seas of coastal nations, traditionally reserved for small-scale fishers. From 2012 to 2016, domestic fleets consistently showed lower fishing effort and received lower tuna prices than DWF fleets. The growing presence of DWF nearshore pressures domestic fleets to seek subsidies to remain viable. The study underscores the need for stronger national and global regulatory frameworks to protect developing nations’ fisheries and ensure equitable, sustainable ocean resource use.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.252
Teacher spread0.243 · 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