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Record W4200191032 · doi:10.3138/utq.90.4.04

Douglas LePan: Poet of the New and Old Worlds

2021· article· en· W4200191032 on OpenAlexaffvenueabout
Jonathan Locke Hart

Bibliographic record

VenueUniversity of Toronto Quarterly · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryBeautyContext (archaeology)LiteratureHistoryReading (process)Diversity (politics)ArtPhilosophySociologyAnthropologyAesthetics

Abstract

fetched live from OpenAlex

C. Day Lewis said of The Wounded Prince (1948) that Douglas LePan was a poet “in whom the New and the Old World have met.” Like the other New World/Old World or Atlantic world poets, such as T.S. Eliot and W.H. Auden, LePan represents the individual in nature and the modern world. The other transatlantic poets had a United States-Britain axis, whereas LePan had a Canada- Britain connection. LePan and poets like him deserve study as part of a diversity of voices from smaller literatures, for the sound of beauty and not the noise of fame. During LePan’s life, others knew of his accomplishments, but, since his death, still others may have forgotten what Northrop Frye and Margaret Atwood knew – that LePan’s poetry warranted close and considered attention. Before a close reading of some of his most lyrical poems, I provide a context, the critical reception of LePan as a poet, particularly in the years from 1948 to 1987, and some germane discussions of LePan’s poetry in subsequent years.

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: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.006
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.183
Teacher spread0.178 · 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
GenreEmpirical

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
Published2021
Admission routes3
Has abstractyes

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