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Crawley, Alan (1887–1975)

2018· book-chapter· en· W4255528366 on OpenAlexaboutno aff
Anouk Lang

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPublishingArt historyPerformance artArtHistoryConstructiveLiterature

Abstract

fetched live from OpenAlex

Alan Crawley (born in Cobourg, Ontario on 23 August 1887; died on Vancouver Island in 1975) was an editor and critic who played a significant role in the development of modernist Canadian poetry in the 1940s and 1950s. A lawyer by training, he was rendered blind in his forties, and his enforced retirement left him the time to pursue his interest in modern poetry. In 1941 he was approached by four west coast poets, Dorothy Livesay, Floris McLaren, Doris Ferne and Anne Marriott, to edit a magazine that they felt was sorely needed as a vehicle for contemporary Canadian poetry. The resulting periodical, Contemporary Verse, ran from September 1941 to 1953, publishing over 120 poets during its 39-issue run. Contemporary Verse, which Crawley edited first from Vancouver and later from Victoria, proved an important forum for both emerging and established Canadian poets. Crawley took pains to encourage younger poets, especially women, and sent constructive critiques and perceptive comments both to those whose contributions he accepted and to those he rejected. In addition to his editorial duties, Crawley also did occasional public outreach activities such as radio broadcasts, poetry readings and speaking tours, which he used to introduce Canadians to contemporary poetry from both their own nation and from abroad.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.543
Threshold uncertainty score0.909

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.011

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 head0.021
GPT teacher head0.236
Teacher spread0.215 · 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
Published2018
Admission routes1
Has abstractyes

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