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Record W2893938575

European Union services liberalisation in CETA

2018· preprint· en· W2893938575 on OpenAlexaboutno aff
Julia Magntorn, L. Alan Winters

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typepreprint
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsLiberalizationBusinessEuropean unionBrexitInternational tradeTrade in servicesInternational economicsMember statesInvestment (military)Transatlantic Trade and Investment PartnershipTrade barrierEconomicsPolitical scienceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

The Comprehensive Economic and Trade Agreement (CETA) between the EU and Canada has been suggested as a template for a future UK-EU trade relationship. To inform the ongoing debate surrounding a ‘Canada plus’ deal post-Brexit, this paper assesses in detail the services and investment chapters of CETA. We have scored each of the EU’s detailed commitments in CETA according to their degree of liberalisation, and aggregated the scores across member states and sub-sectors to provide a broad comparison between sectors. We find that, while in some sectors the EU is relatively open in CETA, in other sectors important to the UK such as financial services and transport services it remains significantly restricted. Further, we evaluate the extent to which the EU’s commitments in CETA improve on its pre-CETA commitments under the General Agreement on Trade in Services (GATS). This shows that although CETA generally offers a bit more liberalisation than the EU’s GATS schedule, it nevertheless follows the latter closely, so that sectors that are relatively protected under GATS remain protected in CETA.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.649
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.062
GPT teacher head0.365
Teacher spread0.302 · 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.

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
Published2018
Admission routes1
Has abstractyes

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