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Record W4390668008 · doi:10.1080/19475020.2023.2298148

American Poetry and the First World War, by Tim Dayton, Cambridge, Cambridge University Press, 2018, xi + 278 pp., £83.99 (hardback), ISBN 9781108418782 Battle Lines: Canadian Poetry in English and the First World War, by Joel Baetz, Waterloo, ON, Wilfrid Laurier University Press, 2018, x + 192 pp., C$85.00 (hardback), ISBN 9781771123198; C$34.99 (paperback), ISBN 9781771123297 International Poetry of the First World War: An Anthology of Lost Voices, edited by Constance Ruzich, London, Bloomsbury Academic, 2020, xiv; + 416 pp., £160.00 (hardback), ISBN 9781350106444; £28.99 (paperback), ISBN 9781350226067

2023· article· en· W4390668008 on OpenAlexaboutno aff
Jane Potter

Bibliographic record

VenueFirst World War Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryBattleFirst world warTheologyArtMedia studiesHistoryClassicsArt historyPhilosophyHumanitiesSociologyAncient historyLiterature

Abstract

fetched live from OpenAlex

Reclamation is at the heart of these three books published in the wake of the Centenary. All three seek to recover and reorient the poetic ‘voices’ of the First World War that have been overshadowe...

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)0.002
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 score0.659
Threshold uncertainty score0.678

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0080.004
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0440.018

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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
Published2023
Admission routes1
Has abstractyes

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