Missing in Action? France and the Politicization of Trade and Investment Agreements
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".