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Record W3116769916 · doi:10.22215/cpopp.v6i0.2725

Signed, Sealed, Delivered: An Analysis of the Communication Tactics Used in the Development of the European Union’s Ban on Seal Products

2020· article· en· W3116769916 on OpenAlexaboutno aff
Meredith Webb

Bibliographic record

VenueCarleton Perspectives on Public Policy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsEuropean unionParliamentEuropean commissionCLARITYIndigenousPolitical scienceCommissionAnimal welfarePublic administrationWelfarePublic relationsLawBusinessInternational trade

Abstract

fetched live from OpenAlex

This article examines how various stakeholders, including national governments, animal welfare organizations, and Indigenous groups, employed different communication tactics and methods to advocate for their positions regarding Regulation 1007/2009. Deconstructing the European Union’s ban on seal products and how it came into effect provides clarity on these communication tactics and their impact on the policy. This analysis focuses on the economic and cultural consequences of the ban in the Inuit Nunangat, and how Inuit communities have created responsive communication strategies to articulate their perspectives. The European Parliament ultimately limited its focus to animal rights and welfare, neglecting to sufficiently consider the evidence-based and scientific reporting provided by the European Commission, Norway, Canada, and Inuit communities.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.076
GPT teacher head0.366
Teacher spread0.291 · 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 designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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