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Record W4200049427 · doi:10.1163/22119000-12340229

The Treatment of Cultural Services in Latin American Countries’ Trade Agreements

2021· article· en· W4200049427 on OpenAlexaff
Gilbert Gagné, Delphine Ducasse

Bibliographic record

VenueThe Journal of World Investment & Trade · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversité de SherbrookeBishop's University
Fundersnot available
KeywordsLatin AmericansScope (computer science)NegotiationCultural policyPolitical scienceNewspaperInternational tradeThe artsGoods and servicesCultural identityBusinessEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Cultural products (including goods and services) encompass visual, performing and literary arts as well as newspapers, magazines, books, movies, video and music recordings, radio and television, and now multimedia. To the extent that they are associated with the cultural identity of various States, their treatment in international trade has been debated as to whether, or the extent to which, they should be exempted from trade regulations. The proliferation of preferential trade agreements (PTAs) has further complexified this debate. The article summarizes the provisions relating to cultural services in Latin American PTAs and discusses the scope of these provisions, notably in light of the cultural policy measures involved and States’ ability to conduct cultural policies. The focus is on Chile, Colombia, Mexico and Peru as these are the leading countries in the negotiation of PTAs in Latin America as regards the number of agreements and the scope of cultural provisions.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.010
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.289
Teacher spread0.270 · 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 designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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