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Record W1548585674 · doi:10.1111/conl.12085

Mass Media Influence and the Regulation of Illegal Practices in the Seafood Market

2014· article· en· W1548585674 on OpenAlex
Stefano Mariani, Jamie Ellis, A. N. o'Reilly, Amanda L. Bréchon, Carlotta Sacchi, Dana Miller

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

VenueConservation Letters · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsUniversity of British Columbia
FundersEuropean Regional Development FundHigher Education Authority
KeywordsBusinessEnforcementMass mediaProduction (economics)Product (mathematics)Compliance (psychology)AdvertisingMarketingEconomicsPolitical scienceLawPsychology

Abstract

fetched live from OpenAlex

Abstract Following media exposure on the issue of seafood mislabeling in Ireland, results of repeated forensic testing of cod product labeling suggest that media attention played an important role in determining significant improvements in the supermarket retail sector, but had no detectable effect on “take‐away” food services. Differences in the chains of production and in compliance requirements to European labeling laws may explain the divergent responses of the two sectors. The findings from this study indicate that it may be possible for mass media to occupy an influential role in fisheries and environmental management and policy, provided that (i) primary research findings are correctly reported by popular media and (ii) governmental agencies follow up the short‐term reaction to media exposure with appropriate enforcement measures.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.154

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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