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Record W2753742404 · doi:10.5195/ahea.2017.313

Making Burgenland from Western Hungary: Geography and the Politics of Identity in Interwar Austria

2017· article· en· W2753742404 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHungarian Cultural Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsLakehead University
Fundersnot available
KeywordsAnnexationGermanPoliticsIdentity (music)Literal and figurative languageIdentity formationNazismPolitical scienceSociologyHistorySocial scienceArchaeologyAestheticsLinguisticsLawArtPhilosophy

Abstract

fetched live from OpenAlex

This study explores the role that geographical knowledge production played in the post-World War I “discovery” of Austrian Burgenland, focusing in particular on the relationship between geographical discourse and the politics of identity formation in the 1920s and 1930s. The primary task is to offer insight into this knowledge-making process by highlighting the discursive strategies employed in a variety of scholarly and popular texts, and by shedding critical light on the various actors and epistemic communities responsible for the imagining of Burgenland from its annexation to Austria in 1921 to the dissolution of the region and its subsequent re-invention as a Greater German border zone after the Nazi Anschluss of 1938. As Jankó and Jobbitt argue, Burgenland’s discovery between the wars was both figurative and literal. Whether the “discoverers” were Austrian or German, national or local, Burgenland was as much a discursive concept as it was a physical reality. Its emergent identity as a region, therefore, much like its actual borders, was fluid and often contested.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.109
GPT teacher head0.448
Teacher spread0.339 · 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