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Record W3113451203 · doi:10.33402/nd.2018-6-198-211

THE CAUSES OF THE WEST UKRAINIAN PEOPLE’S REPUBLIC (ZUNR) DEFEAT: INVASION, HEROISM, INACTIVITY OR TREASON?

2018· article· en· W3113451203 on OpenAlexaboutno aff
B. Yakymovych

Bibliographic record

VenueContemporary era · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianDemiseState (computer science)Political scienceIndependent stateThe RepublicQuarter (Canadian coin)PoliticsFace (sociological concept)Economic historyHistoryAncient historyLawSociology

Abstract

fetched live from OpenAlex

Assessing the Ukrainian Revolution, 1917–1921, and the proclaiming of the West Ukrainian People’s Republic (ZUNR) as the second most crucial phenomenon in the history of the Ukrainian people after the establishment of the Cossack State under the leadership of Bohdan Khmelnytskyi in the 18th century, the author of this study pays special attention to the mistakes of the political and army leadership of the Galicians, which caused the demise of the state in the Galicia-Bukovyna-Zakarpattia region. The author identifies three periods, during which it was possible to send the Polish occupiers away from the territory of the Eastern Galicia. It was the wasted time, disorientation in the Polish domestic contradictions, disarrangement of the rear, failure to enforce the Act of Unification of the ZUNR, and the Ukrainian People’s Republic (UNR), as well as the developments in the Dnieper region, caused the demise of the ZUNR. The latter found itself face to face with the might of the revived Polish state already in the second quarter of 1919. Just at that time, the Entente, with a neutral position of the United States, supplied the Poles with considerable forces and means throwing the Ukrainians at the paws of Poland, Romania, and White and Red Russia. Keywords West Ukrainian People’s Republic (ZUNR), Lviv, Peremyshl (Przemysl), Dmytro Vitovskyi, Hnat Stefaniv, Mykhailo Omelianovych-Pavlenko

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.067
GPT teacher head0.301
Teacher spread0.234 · 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.

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
Published2018
Admission routes1
Has abstractyes

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