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Record W4406810409 · doi:10.1111/faf.12884

The Vanishing Vaquita: A Call for Definitive Action

2025· article· en· W4406810409 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

VenueFish and Fisheries · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Spain
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaFisheries and Oceans Canada
FundersSecretaría de Investigación y Posgrado, Instituto Politécnico NacionalConsejo Nacional de Ciencia y Tecnología
KeywordsAction (physics)Call to actionComputer sciencePhysicsBusinessAdvertising

Abstract

fetched live from OpenAlex

ABSTRACT The world's smallest porpoise—the vaquita ( Phocoena sinus )—is on the brink of extinction. Endemic to the upper Gulf of California, it has dwindled to fewer than 19 individuals in 2023. The primary source of mortality is drowning in gillnets set for totoaba (a giant croaker fish). Our review of the past 50 years of efforts to simultaneously attain conservation goals for the vaquita and economic and social goals for the fisheries concludes that they have consistently failed to meet the lowest expectations of any stakeholders. The time has therefore come to recognise that the only solution to this problem is to make an immediate and definitive decision: either preserve the vaquita or bolster sustainable fishing in the upper Gulf—and accept the associated social, economic, and political costs of either choice.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.247
Teacher spread0.197 · 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