A Commentary on the So-Called Defense of Christian Europe: The Fidesz Party’s Response to the Migration Crisis in Hungary
Bibliographic record
Abstract
Abstract This essay examines the issue of migration in Hungary since 2015, focusing in particular on the way in which Viktor Orbán and the Fidesz government have mobilized populist fears of a migrant invasion as a key trope in their efforts to construct an illiberal state, and how in the wake of the COVID-19 pandemic and the crisis in Afghanistan, they have continued to capitalize on populist (mis)conceptions of the so-called migrant crisis in the lead-up to the 2022 elections. Beginning with a description of Fidesz as a populist radical-right party, the essay examines Orbán’s response to the migration crisis in summer 2015 and concludes with an analysis of official Fidesz social media posts over a two-week period in September 2021. Confident in its self-proclaimed historical mission, Fidesz has used the perceived migrant crisis not only to argue that the liberal policies of the European Union are a threat to the future of European culture and civilization, but also to position itself as the protector of Hungary, and of Christian Europe more generally.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.012 | 0.009 |
| 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".