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Record W3209231330 · doi:10.21744/lingcure.v5ns4.1587

Cultural identification of a person in the works of William Kurelek

2021· article· en· W3209231330 on OpenAlexaboutno aff
Khrystyna O. Beregovska, Olga Tarasenko, Khrystyna M. Nahorniak, Anastasiia D. Pavlyshyn, Karyna DAVYDOVA

Bibliographic record

VenueLinguistics and Culture Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianMulticulturalismEthnic groupImmigrationContext (archaeology)Identity (music)SociologyIdentification (biology)FriendshipPrismNational identityGender studiesPolitical scienceAestheticsHistorySocial scienceLawAnthropologyLinguisticsArtPolitics

Abstract

fetched live from OpenAlex

Ethnic groups in Canada try not to dissolve in a foreign national environment and to preserve their identity. Polish-Ukrainian relations are an important topic in the context of studying the immigrant Canadian environment. William Kurelek was interested in this issue and managed to prove the role of Ukrainians in shaping a multicultural Canadian society. The authors of this study aimed to characterize the preconditions and history of the thematic series of Ukrainian immigrants and The Polish Canadians on the basis of artistic works. The works of William Kurelek were characterized and special attention was paid to Polish-Ukrainian motives in his work. The models of Ukrainian-Polish relations through the author's prism of understanding and observing the traditions and culture were derived. Issues of religious tradition, prairie duties, folk celebrations, upbringing, ethnic life and friendship were raised. In his paintings, William Kurelek raised these issues.

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)0.003
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: Review · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.049
GPT teacher head0.366
Teacher spread0.317 · 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
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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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