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Introduction to the Special Section on Transcarpathia

2024· article· en· W4401390730 on OpenAlexvenueno aff
Péter Balogh

Bibliographic record

VenueHungarian Studies Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Special sectionHistoryComputer scienceEngineeringEngineering physicsOperating system

Abstract

fetched live from OpenAlex

The tragic events unfolding in Ukraine over the past decade have understandably triggered considerable scholarly attention to that country. Yet despite Ukraine’s rich internal diversity, the focus is often on national or interstate relations. A recent roundtable on Hungarian-Ukrainian relations in the Hungarian Studies Review (vol. 49, no. 2) is a case in point, with only one out of the six contributions specifically dealing with the subnational level—namely with the region of Transcarpathia (since 1946 called Zakarpattia Oblast).1 We believe that region merits more attention generally and in this journal for at least three, interrelated, reasons. First, Ukraine’s westernmost oblast borders Hungary and hosts a considerable, though shrinking, ethnic Hungarian minority. Second, as the authors here convincingly show, Transcarpathia is a particularly rich terrain for studying interethnic relations, including but not limited to Ukrainian-Hungarian ties. Last but certainly not least, the status and rights of the region’s ethnic Hungarians are often referred to as a key factor in the recently deteriorating relations between Hungary and Ukraine.2Hence, we believed it was worth presenting our ongoing research on interethnic issues in Transcarpathia at the 2022 ASEEES Annual Convention. Organized by Árpád von Klimó, our session was titled “Hungarian-Ukrainian Borderland Questions: New Research” and chaired by Paul Hanebrink, with the author serving as discussant. Three papers were presented, and their revised versions now constitute the bulk of this special section. While one of the articles deals with a more distant period, the remaining two focus on much more recent times, namely the years between Russia’s partial occupation of Ukraine in 2014 and its full-scale invasion in 2022. That period saw growing economic and political asymmetry between Hungary and Ukraine.3 Not unrelatedly, it also saw a sharp increase in Hungary’s financial and political support of its ethnic kin in Transcarpathia and the curbing of minority language rights in Ukraine.4John Swanson’s historically focused article is rather unique also in a methodological sense. While even historical studies of everyday multiethnic cohabitation typically rely on qualitative sources (such as diaries or newspaper reports), his contribution builds on statistical data on a small Transcarpathian town, Bilke. The fact that the area has repeatedly switched state affiliation over the period studied—the first half of the twentieth century—is not necessarily to the researcher’s disadvantage, as different types of data are thus available. In this case, beyond official census data (which often recorded ethno-religious identification or native language), Swanson makes use of school records and cadastral maps. Comparing these different data for the very same individuals (in this case a Jewish girl and her family) has enabled him to identify their social and spatial mobility patterns (movements, segregation, etc.) over time.Katalin Kovály’s article takes us to much more recent times, namely to the period 2017–20, during which Hungary’s kin-state aid to Transcarpathia experienced its peak. She is interested in how that and other dynamics have influenced the role of formal and informal ethnic capital among economic actors in Berehove Raion (district), which until recently had an ethnic Hungarian majority. To learn about these effects, Kovály has primarily conducted interviews with local entrepreneurs and representatives of business organizations. While these actors may already previously have relied on ethnic ties informally, she found that among the region’s Hungarians the role of formal ethnic relations has increased, largely due to Hungary’s financial support (which is mostly channeled through formal institutions). This has put them in a more advantageous position vis-à-vis their Ukrainian competitors, which has become a source of tension between the two groups.Ágnes Erőss’s contribution fills a gap by focusing on immobility in a region that is otherwise typically studied for its salient (e)migration patterns.5 Since 2016, she has conducted fieldwork among Transcarpathian Hungarians mainly in rural peripheries, finding that mobility and immobility patterns are often intertwined with family strategies. As such, these patterns heavily impact, and are heavily impacted by, generational and gender dimensions. Additionally, they are also affected by individuals’ possession, or lack thereof, of the citizenship of the kin state (in this case Hungary) and their geographical distance thereto.This small collection of articles on Transcarpathia aims to contribute to the study of local Ukrainian-Hungarian relations and, more generally, of ethnic ties in the borderlands of Hungary and beyond. The future of Ukrainian Hungarians will depend on how long the full-scale war lasts, but despite their initial exodus, in 2022 at least Transcarpathians were reported to move back and forth between their homes and Hungary.6 Should those patterns of mobility and immobility be sustained, the region is likely to play a role in Ukrainian-Hungarian relations in the future as well.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.343
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.064
GPT teacher head0.300
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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