A geographer's tale: nation, modernity, and the negotiation of self in "Trianon" Hungary, 1900-1960
Bibliographic record
Abstract
Drawing on the private papers and scholarly publications of the Hungarian geographer Ferenc Fodor (1887-1962), this dissertation examines conservative-nationalist identity formation in Hungary between 1900 and 1960, a period which was marked, amongst other things, by the signing of the territorially devastating Treaty of Trianon after World War I, by Hungary's defeat in World War II, and by the postwar consolidation of communism. Looking in particular at how Fodor attempted to negotiate a stable sense of self against the backdrop of a conservative vision of the nation, the dissertation argues that, though Fodor was able to construct a relatively comfortable, middle-class life for himself and his family as a nationalist intellectual, he was unable to overcome the sense of fragmentation, dissolution, and alienation which had burdened him since his youth. Reading his letters, notebooks, diaries, and collections of photographs against his published and unpublished work, the dissertation argues that his on-going quest for meaning and wholeness was undermined not so much by a series of traumatic events, but rather by the nature of both nation and self as unstable "fictions."
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".