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Record W7005653110

Sarah Howe Interviews #GriffinPoetryPrize International Finalists Ali Kinsella & Dzvinia Orlowsky

2022· article· en· W7005653110 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHELIN Digital Commons · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGriffinPoetrySorrowReading (process)Character (mathematics)Football
DOInot available

Abstract

fetched live from OpenAlex

"Each line [in Natalka Bilotserkivets' poetry] is very powerful, and each line turns the poem in a different direction." —Dzvinia OrlowskyIn this interview with Griffin Trustee Sarah Howe, 2022 #GriffinPoetryPrize International finalists Ali Kinsella and Dzvinia Orlowsky discuss what drew them to translate the work of Natalka Bilotserkivets, how they collaborated on their translation, and how it feels for this work to be reaching readers in English at a turbulent time for Ukraine. They also share a bilingual reading of the poem "ніж / Knife" from their shortlisted translation, Eccentric Days of Hope and Sorrow (Lost Horse Press).Join us on our website and YouTube channel on Wednesday, June 15, 2022 at 10:00 a.m. (ET) for the live screening of our 2022 Griffin Poetry Prize winners announcement film. Find out more about this year's International and Canadian shortlists on our website: https://griffinpoetryprize.com/shortlists/prize-year/2022/

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.001

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 head0.154
GPT teacher head0.264
Teacher spread0.110 · 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