Austerity Talk and Crisis Narratives: Memory Politics, Xenophobia, and Citizenship in the European Union
Bibliographic record
Abstract
The focus in this paper is on understanding the complex intersections between crises and memory politics in shaping conversations about citizenship through an examination of the two defining crises of our time: the global financial crisis (GFC) of 2008 and the migrant crisis in the European Union (starting in 2011 and continuing). The paper looks at these crises as narrative devices that intersect with memory politics in ways that heighten and intensify xenophobic and nationalist anxieties. The paper's discussion is primarily theoretical, complemented with evidence drawn from public statements and policy platforms of three key right-wing Eurosceptic parties in the United Kingdom, France, and Germany (the United Kingdom Independence Party (UKIP), the Rassemblement National (RN), and the Alternativ für Deutschland (AfD).
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.033 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".