The polycrisis and EU security and defence competences
Bibliographic record
Abstract
From the 2009 sovereign debt crisis to the 2022 Russian full-scale war in Ukraine, the EU has experienced a succession of intersecting crises, or a ‘polycrisis’. We examine how this polycrisis has impacted the EU's role in security and defence. While the EU's competences in security and defence have long suffered from disagreements among member states, they have shown notable developments since Brexit, and most importantly, since the 2022 war in Ukraine. We make a two-step argument to shed light on why the polycrisis has had these differentiated effects over time. The first move we make is to unpack the polycrisis to explain why and when an increase in competences may take place. We single out two crises that offer pathways for positive politicisation, leading to increased cooperation and competences: an external military threat and an internal crisis in the form of the loss of a major veto player. In a second step, we argue that the existence of an alternative organisation, NATO, helps us explain where and what cooperation can take place. Shared military threats can lead to complementary rather than substitutive empowerment at least during the duration of the crisis.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".