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Record W4390071721 · doi:10.1353/ndq.2023.a915755

Aubade: A Murder of Crows

2023· article· en· W4390071721 on OpenAlexaboutno aff
Frederick Wilbur

Bibliographic record

Venue˜The œNorth Dakota quarterly · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsJokePoetryHistoryPARRYLiteratureArtIdiotFableArt history

Abstract

fetched live from OpenAlex

Aubade: A Murder of Crows Frederick Wilbur (bio) Use assumed names, the poet's price as words are tiny sacrifices.Crows come spattering sunrise with anarchy. Crows spatter sunrise with anarchy and settle behind curtain pinesto nag, remind you of rebellions under the skin. To nag, remind you of rebellions under the skin, your lost son flies with them from chimneyto twigless tree. It is a joke gone too far, a joke gone too far. In sleep, the tongue is punished,the escaping cry is apnea and gasp. The escaping cry is apnea and gasp, is a primitive repentancefor all the sorrows sung in drunkenness. For sorrows sung in drunkenness, woodsmoke hangs laundry-like over sleeping Amicus,mountains motionless in the rub of raw day. In the rub of another raw day, gather gray stones to parry them—always earthbound, something to hold, to heft. Something to hold, to heft, you are earthbound and know that love may not be labor enough.Forgive his disappearance into the great holding heart. [End Page 63] Frederick Wilbur frederick wilbur's collections are As Pus Floats the Splinter Out and Conjugation of Perhaps. His work has appeared in The Comstock Review, Dalhousie Review, Green Mountains Review, Hampden-Sydney Poetry Review, The Lyric, and Shenandoah among others. He is poetry editor for Streetlight Magazine. Copyright © 2023 University of North Dakota

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)0.006
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: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0180.005

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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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Same venue˜The œNorth Dakota quarterlySame topicAmerican Literature and CultureFrench-language works237,207