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Record W2754346831 · doi:10.21226/t2vk7m

Nataliia Khanenko-Frizen. Inshyi svit abo etnichnist' u dii: Kanads'ka ukrains'kist' kintsia dvadtsiatoho stolittia [The Other World or Ethnicity in Action: Canadian Ukrainianness at the End of the Twentieth Century].

2017· article· en· W2754346831 on OpenAlexvenueaboutno aff
Valerii Polkovsky

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEthnic groupHumanitiesIndex (typography)AnthropologyArtSociologyPhilosophy

Abstract

fetched live from OpenAlex

Book review of Nataliia Khanenko-Frizen. Inshyi svit abo etnichnist' u dii: Kanads'ka ukrains'kist' kintsia dvadtsiatoho stolittia [The Other World or Ethnicity in Action: Canadian Ukrainianness at the End of the Twentieth Century]. Foreword by Oksana Kis', Vydavnytstvo “Smoloskyp” / Heritage Press, 2011. Ukrains'ki studii [Ukrainian Studies]. 392 pp. 8+8 pp. of illustrations. List of Interviews. Appendix. Bibliography. Index. UAH 40,00/ $19.95, cloth.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.633
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.008

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 head0.080
GPT teacher head0.340
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes2
Has abstractyes

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