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Record W4389694093 · doi:10.1515/9780889776517

Live Ones

2019· book· en· W4389694093 on OpenAlexaboutno aff
Sadie McCarney

Bibliographic record

VenueUniversity of Regina Press eBooks · 2019
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

“With the prismatic eye of a witch-blessed Alden Nowlan, Sadie McCarney sculpts a hard-won beauty into the passion of her lines.” —Marilyn Bowering, author of Threshold and The Alchemy of Happiness Sadie McCarney’s first full-length poetry collection grapples with mourning, coming of age, and queer identity against the backdrop of rural and small-town Atlantic Canada. Ranging from pellet-gunned backyard butterflies to a chorus of encroaching ghosts, Live Ones celebrates the personal and idiosyncratic aspects of death, seeing them as intimately wedded to lives well-lived. Personal myth-making collides with grocery shopping, ancient history turns out to be alive and well in modern-day Milford, Nova Scotia, and the complexities of queer female desire call out to us from beyond the grave. “McCarney’s poems hook you with the first line. Her writing crosses between quotidian and fantastical with such ease that you’ll climb into the unreal like a child climbs onto a school bus. From folks in an almost normal Black Friday lineup to a surviving child relieving a family home of its contents, each character implicates you in their business.” —Kathy Mac, author of Human Misunderstanding “McCarney writes with photographic intensity and a lilting ear: bumblebee, lime, chokeweed, toucan, ‘the dead, but once or twice removed.’ Live Ones is a book rife with honesty, vulnerability, and a stark ability to transform even the most minute of objects into dancing flora.” —Joshua Whitehead, author of full-metal indigiqueer

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: Other
Teacher disagreement score0.605
Threshold uncertainty score0.000

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 studies0.0030.001
Scholarly communication0.0080.006
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6050.426

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 head0.022
GPT teacher head0.183
Teacher spread0.161 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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