Managed Globalization 2.0: The European Commission’s Response to Trade Politicization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Several studies have sought to explain the politicization of European Union’s (EU) trade policy during negotiations on the Transatlantic Trade and Investment Partnership (TTIP) and the Comprehensive Economic and Trade Agreement between the EU and Canada (CETA). This article contributes to the literature on the politicization of trade by assessing how politicization is addressed by those tasked with the content and implementation of trade policy, namely the European Commission (hereafter Commission). We identify the origin and definition of managed globalization (MG), and thereafter identify, through a qualitative content analysis of EU Trade Commissioners’ speeches from 2013 to late 2017, how the doctrine re-emerged as the leitmotif<em> </em>of EU trade policy. The Commission’s initial response to civil society organizations’ contestation over TTIP and CETA was to insist on the economic benefits of the agreements. As contestation intensified, we find indirect references to MG, as the Commission focused on clarifying that upholding European values was equally important to market access in EU trade policy. Then, from late 2016 until late 2017, the Commission’s messaging was directed primarily at populist fears of trade and globalization; emphasizing that protectionism was unnecessary, and that globalization could be controlled, culminating in the emergence of explicit references to MG. The article expands on existing research on MG by identifying trade politicization as a factor that prompted a modification and expansion of the MG doctrine and its use, while also discussing some accompanying policy changes.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it