Recapturing the Past: The Role of Historical Memory in Polish and Hungarian Populism
Bibliographic record
Abstract
Collective memory is a driving force in populist and nationalist politics. The emotional appeals of a shared history, particularly relating to notions of victimhood and resistance, are deeply influential in national identity formation. In this essay, Hungary’s Fidesz party and Poland’s Law and Justice party (PiS) are explored in relation to their tendency to manipulate history to construct self-serving collective memories. Both Fidesz and PiS successfully employ selective interpretations of historical events to not only mobilize support but also to quell dissent, employing emotive appeals and moral justifications deeply rooted in the national psyche. In order to combat the illiberal and anti-democratic tendencies of populist manipulations of collective memory, this essay argues that strong civil societies and the promotion of alternative narratives of collective memory are necessary. Editorial Note: This final version of this piece was to be titled "The Past Reimagined: The Role of Historical Memory in Polish and Hungarian Populism". Due to an editorial error, a draft title was published in the print edition. In the spirit of continuity between the print and online edition, we have kept the title of the print edition's in the online version, but have included this note to explain the discrepancy. Our apologies to the author for the error.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".