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Record W2267723422 · doi:10.1353/ces.2015.0052

The Carpatho-Ukrainian Episode of 1938–39: Canadian and International Ramifications

2015· article· en· W2267723422 on OpenAlexvenueaboutno aff
Myroslav Shkandrij

Bibliographic record

VenueCanadian ethnic studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianState (computer science)Political scienceSoviet unionPoliticsIndependent stateEconomic historyPolitical economyLawSociologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

The article examines Canadian Press reports of the Carpatho-Ukrainian autonomous state that existed from November 1938 until March 1939. It describes how Western opinion, including Canadian, reacted to the new state, and how fears that Hitler was about to create a “Greater Ukraine” internationalized the issue of Carpatho-Ukraine, which some feared would be the first step in Germany’s destabilization of the Soviet Union. The state’s brief existence is also important for what it reveals about the thinking of the OUN (Organization of Ukrainian Nationalists), the shift in the organization’s politics at the time, and the lesson it drew or failed to draw from this episode. Cet article porte sur le traitement par la presse canadienne de l’état autonome carpatho-ukrainien qui exista de novembre 1938 à mars 1939. Il montre comment la réaction de l’opinion occidentale, canadienne y compris, à ce nouvel état, et la peur de voir Hitler sur le point de créer une “Grande Ukraine” ont internationalisé la question carpatho-ukrainienne, certains craignant que ce soit le premier pas de la déstabilisation de l’Union soviétique par l’Allemagne. La courte existence de cet état revêt aussi une certaine importance en ce qu’elle a révélé à propos de la réflexion de l’ONU (Organisation des Nationalistes ukrainiens), l’évolution de la politique de l’époque de celleci, et la leçon qu’elle a tirée ou n’a pas su tirer de cet épisode.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.170
GPT teacher head0.397
Teacher spread0.227 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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