A Crisis is a Terrible Thing to Waste: Feminist Reflections on the EU’s Crisis Responses
Bibliographic record
Abstract
As critics are quick to point out, the European Union (EU) has entered the crisis phase of its evolution. It could be argued that crisis management is now the EU’s new normal. Dealing with both endogenous (e.g., economic crisis and Brexit) and exogenous crises (e.g., the migrant crisis and COVID-19), the EU is facing a whole new set of challenges that has the potential to destabilize the complex institutional balance that has maintained the process of European integration over the last 70 years. In this environment of rapid responses, gender+ equality has frequently been compromised. As we argue in this article, the implications of this backsliding are grave not only for equality but also for the European Union as a whole. Drawing on Walby’s concept of gender regimes and social transformation, we consider current crises and the EU’s responses to those crises to highlight potentially dangerous shifts in the European gender regime. With crisis response increasingly supporting a neo-liberal gender regime, the current state of perpetual crisis in the European institutions does not bode well for the future of equality.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.033 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".