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Record W2760053600

The Comprehensive Economic and Trade Agreement (CETA): What Kind of Space is Given to Fair Trade and Labour Rights?

2017· article· en· W2760053600 on OpenAlexaboutno aff
Silvio Bologna

Bibliographic record

VenueNova Science Publishers (Nova Science Publishers, Inc.) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationEuropean unionPolitical scienceInternational tradeTreatyMultinational corporationTrade agreementCustoms unionLabour lawEconomyWelfare economicsFree tradeEconomicsLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Il presente lavoro analizza da una prospettiva giuslavoristica il Comprehensive Economic and Trade Agreement (CETA), trattato internazionale di libero scambio, da poco sottoscritto da Unione Europea e Canada: il saggio si interroga se tale trattato possa contribuire o meno allo sviluppo del fair trade all'interno delle democrazie occidentali. Nel dettaglio l'articolo analizza le clausole del CETA alla luce dei core labour standards dell'ILO, con un focus sulle clausole arbitrali di risoluzione delle controversie (Investor-State Dispute Settlement), sulle forme di partecipazione della società civile e sui meccanismi di eccezione. Nelle conclusioni, nonostante la tendenziale omogeneità socio-economica tra Canada e Unione Europea, viene sostenuto come il CETA non sia in grado di assicurare automaticamente il rispetto dei diritti sociali nel contesto del commercio internazionale, con il rischio di una corsa al ribasso delle tutele.

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)0.009
metaresearch head score (Gemma)0.014
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 score0.018
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.026
Scholarly communication0.0150.012
Open science0.0010.005
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.330
Teacher spread0.289 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueNova Science Publishers (Nova Science Publishers, Inc.)Same topicInternational Labor and Employment LawFrench-language works237,207