Regime Change and the Attempted Rehabilitation of Self: Ferenc Fodor and the Production of Communist Geography, 1948-1962
Bibliographic record
Abstract
The communist takeover in Hungary after World War II presented obvious challenges, hardships, and even dangers for the conservative-nationalist scholars who were part of the intellectual elite of the interwar period. Marginalized within the new socio-political order that emerged after the communist consolidation of power in 1948-49, conservative-nationalist intellectuals who were not completely silenced by the communists either retreated from public life entirely, or else found themselves having to struggle to remain relevant within the state-socialist system then under construction. Though limited in what they could publish, and relegated to minor and often precarious positions within the scholarly community, former conservative-nationalist scholars were nevertheless granted limited spaces within which they could produce relevant and even important scholarship, and in so doing could also “reinvent” themselves—if in many cases only partially and perhaps opportunistically—as public intellectuals. Focusing on the life and work of Ferenc Fodor between 1948 and his death in 1962, this article explores the concrete ways that a once-prominent geographer of the interwar period continued to contribute to geographical knowledge production under communism, and how he used this scholarly work as leverage in his attempts to partially rehabilitate himself in the early communist period. Contributing to a growing body of critical work on Hungarian geography under communism (see articles by Márton Czirfusz and Róbert Győri in this issue, for example), this study helps to lay the groundwork for future research on the relationship between the politics of scholarly production and the spatial re-imagining of postwar Hungary.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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 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".