Constructive Ambiguity: Comparing the EU’s Energy and Defence Policies
Why this work is in the frame
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Bibliographic record
Abstract
This article explores the paradox of constructive ambiguity. Based on a focused, longitudinal comparison of the European Union’s energy and defence policies, it analyses the role played by strategies of ambiguity in European integration. Ambiguity is found to be an attractive strategy for political entrepreneurs when member state preferences are heterogeneous and the EU’s legal basis is weak. It is likely to be effective, however, only if it is embedded in an institutional opportunity structure – that is, a formal-legal context – that entrepreneurs can fold into their strategic repertoire of ideas. While ambiguity can be strategic in circumstances where clarity would create strong opposition, it is not sufficient to entrench a European policy if it does not rest on an institutional basis. This suggests that European political entrepreneurs should be wary of relying on coalition building by ambiguity only.
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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 | 0.000 | 0.000 |
| 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 | 0.002 |
| 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