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Record W4252652043 · doi:10.32920/ryerson.14665578

A Modest Referee: Measuring the UNESCO CCD’S Effect on Culture and Free Trade Agreement Negotiation

2021· preprint· en· W4252652043 on OpenAlexaff
Chantal Braganza

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsNegotiationFree trade agreementConventionPromotion (chess)Free tradeDiplomacyInternational tradePolitical scienceDiversity (politics)Cultural diversityBusinessInternational economicsEconomicsLaw

Abstract

fetched live from OpenAlex

The purpose of this research is to assess the effectiveness of the UNESCO Convention on the Protection and Promotion of Diversity of Cultural Expressions (CCD) as a trade instrument intended to protect local culture and cultural industries from free market influences. Much previous writing has pointed out flaws or weaknesses in its legal language and structure; few studies have been carried out on the way it has been cited and employed in actual trade negotiations and disputes. Through a recount of the its history, a close read of the original document of the CCD itself, and a case-study examination of two recently signed free trade agreements and a concluded international trade dispute, this research paper will show that the ways in which this nearly 15-year-old document has been employed does not quite live up to its intended purpose. Keywords: cultural policy, free trade, UNESCO CCD, culture and trade disputes, cultural diplomacy, CETA, CPTPP

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.185
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.185
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0040.002
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0190.003

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 head0.066
GPT teacher head0.211
Teacher spread0.146 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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