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Record W3012027211 · doi:10.17645/pag.v8i1.2616

Missing in Action? France and the Politicization of Trade and Investment Agreements

2020· article· en· W3012027211 on OpenAlexaboutno aff
Sophie Meunier, Christilla Roederer‐Rynning

Bibliographic record

VenuePolitics and Governance · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTransatlantic Trade and Investment PartnershipMobilizationPolitical scienceEuropean unionGlobalizationPoliticsNegotiationInvestment (military)International tradeGeneral partnershipPolitical economyFree tradeEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

Negotiations for the Transatlantic Trade and Investment Partnership (TTIP) between the European Union (EU) and the United States (US) and for the Comprehensive Economic and Trade Agreement (CETA) between the EU and Canada have provoked massive mobilization throughout Europe, both on the streets and online. Yet France, long at the epicenter of anti-globalization and anti-Americanism, has played a surprisingly modest role in the mobilization campaign against these agreements. This article asks why France did not contribute to anti-TTIP mobilization and, more broadly, how patterns of French mobilization over trade have changed over the past two decades. Using comparative-historical analysis, we explore to what extent this puzzling French reaction can be traced to changing attitudes towards the US, agenda-shaping by the French government, and transformations in the venues and techniques of social mobilization. We thus contribute to the growing literature on the politicization of trade agreements and offer insights into the links between domestic and international politics.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.298
Teacher spread0.262 · 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 designTheoretical or conceptual
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

Citations15
Published2020
Admission routes1
Has abstractyes

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