Race and Populist Radical Right Discourses: Implications for Roma Education Policy in Hungary
Bibliographic record
Abstract
Non-government organizations and policy makers agree that the best route to eradicating the widespread discrimination and poverty among the Roma is to improve the quality of and access to education. A cursory glance at the Hungarian Government website suggests that policy makers are on top of the problem with good laws and initiatives in place. Yet, indicators from non-government groups and academics suggest the situation remains bleak for the Roma, and practices such as the segregation of Roma school children persist. Progressive change in Hungary first requires a serious confrontation of the widespread and deeply ingrained racism against the Roma. This paper makes no attempt at such an ambition; however, the paper aims to begin acknowledging the role race plays in populist radical right discourses about education policies in Hungary using a discourse analysis method informed by Critical Race Theory. The paper advances two arguments. First, there is a mismatch between official policy and actual progress on Roma education. Second, an examination of how populist radical right discourses about the Roma are racialized provides insight into why there is a mismatch.
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How this classification was reachedexpand
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 | 0.001 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".