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Record W2289431139 · doi:10.21226/t27g6m

Dokia Humenna’s Depiction of the Second World War and the OUN in Khreshchatyi iar: How Readers Responded

2016· article· en· W2289431139 on OpenAlexaffvenue
Myroslav Shkandrij

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDepictionWorld War IIGermanArtHistoryPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

<p class="EW-abstract"><strong>Abstract:</strong> When Dokia Humenna’s novel depicting the Second World War, <em>Khreshchatyi iar</em> (Khreshchatyk Ravine), was published in New York in 1956, it created a controversy. Readers were particularly interested in the way activists of the OUN were portrayed. This article analyzes readers’ comments and Humenna’s responses, which are today stored in the archives of the Ukrainian Academy of Science in New York. The novel is based on a diary Humenna kept during the German occupation of Kyiv in the years 1941-1943.</p><strong>Keywords: </strong>Dokia Humenna, <em>Khreshchatyi iar</em>, Second World War, OUN, Émigré Literature, Reader Response

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.045
GPT teacher head0.298
Teacher spread0.253 · 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 designQualitative
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
Published2016
Admission routes2
Has abstractyes

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