The European Union in the Eyes of Others: Towards Filling a Gap in the Literature
Bibliographic record
Abstract
Building on François Duchêne’s concept ‘civilian power Europe’, a growing number of scholars have asserted the EU’s distinciveness as an international actor. This has resulted in a lively debate among supporters of the thesis and sceptical scholars. What this literature has failed to investigate so far is the extent to which the EU is (or is not) regarded as a distinctive world power by other international actors. This is precisely what this article aims to do. Building on the results of a survey on The External Image of the European Union, coordinated by the author in the framework of the Network of Excellence GARNET, the article sums up the prevalent images of the EU in Australia, Brazil, Canada, China, Egypt, Japan, India and South Africa, and at the level of NGOs and Commission delegations.
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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 | 0.026 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.023 | 0.038 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.010 | 0.007 |
| 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".