Bibliographic record
Abstract
Intelektual iak heroi ukrains'koi prozy 90-kh rokiv XX stolittia was published by Piramida in 2014.He is a translator of Ukrainian literature into English.In 2008-16 he organized the Contemporary Ukrainian Literature Series (co-sponsored by the Harriman Institute and the Kennan Institute), which brought leading Ukrainian literary figures to audiences in North America.Andryczyk is the editor and the compiler of The White Chalk of Days, the Contemporary Ukrainian Literature Series Anthology (Academic Studies P, 2017).He has translated eleven essays by Yuri Andrukhovych for the publication My Final Territory: Selected Essays (U of Toronto P, 2018).His latest publication is a translation of Volodymyr Rafeyenko's novel Mondegreen: Songs about Death and Love (Harvard Library of Ukrainian Literature, 2022).Also a musician, Andryczyk has recorded three studio albums in Ukraine (1996, 1998, 2006), under the name Yeezhak, and has performed a series of concerts in support of these recordings, most recently at Pidzemnyi Perekhid Vagabundo (Ivano-Frankivsk, 2019).UILLEAM BLACKER, an associate professor at University College London, teaches courses in comparative eastern European literature and culture at the School of Slavonic and East European Studies.He is the author of Memory, the City and the Legacy of World War II in East Central Europe: The Ghosts of Others (Routledge, 2019) and a co-author of Remembering Katyn (Polity, 2012).He is also a co-editor of Memory and Theory in Eastern Europe (Palgrave Macmillan, 2013).His research in Ukrainian, Polish, and Russian literature and culture focuses on questions of cultural memory.He has translated the works of several contemporary Ukrainian writers, including Oleg Sentsov's collection of short stories Life Went on Anyway (Deep Vellum, 2019).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.690 | 0.255 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".