MétaCan
Menu
Back to cohort
Record W3017119863 · doi:10.21226/ewjus577

Review of Volodymyr Yavorivsky. The Chornobyl Madonna & Valeriy Shevchuk. Breath of Evil: Novellas Written by the Goatherd Ivan Shevchuk and Fashioned for Literary Use by His Great-Grandnephew.

2020· article· en· W3017119863 on OpenAlexvenueno aff
Marko Pavlyshyn

Bibliographic record

VenueEast/West Journal of Ukrainian Studies · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaUkrainianLiteratureArtArt historyHistoryClassicsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Review of: Volodymyr Yavorivsky. The Chornobyl Madonna. Translated from the Ukrainian by Yuri Tkacz, Bayda Books, 2016. 192 pp. Paper. Valeriy Shevchuk. Breath of Evil: Novellas Written by the Goatherd Ivan Shevchuk and Fashioned for Literary Use by His Great-Grandnephew. Translated from the Ukrainian by Yuri Tkacz, foreword by Marko R. Stech, Bayda Books, 2016. 246 pp. Paper.

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)0.002
metaresearch head score (Gemma)0.007
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: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.009
Science and technology studies0.0010.002
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.012

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 head0.077
GPT teacher head0.308
Teacher spread0.231 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEast/West Journal of Ukrainian StudiesSame topicDiverse Scientific Research in UkraineFrench-language works237,207