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Record W3209234907

토끼풀과 단풍잎: 예이츠와 캐나다 모더니스트 시

2016· article· ko· W3209234907 on OpenAlexaboutno aff
Bennett Yu-Hsiang Fu

Bibliographic record

VenueThe Yeats Journal of Korea · 2016
Typearticle
Languageko
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryIrishBLISSStyle (visual arts)LiteratureModernism (music)ArtArt historyLiterary criticismHistoryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Of all the seeds breeding Canadian poetry to the literary garden, Yeats’s direct and indirect influences on representative post-WWI poets and literary movements in Canada cannot be dismissed. This essay attempts to trace Yeats’s North American lecture tours (1903-4), still quite unremarked in Yeats Studies, and to examine how these lectures in some Canadian cities inspired the writers still striving to find a national, poetic voice. As in the works of G.D. Roberts and Bliss Carman, countless allusions and deliberate references to Yeats and his work pervade the Confederation verses. The literary cradle in Lower Canada, McGill University in Montreal, produced influential Canadian modernist poets, the McGill Group with Smith as a representative, with programmatic introductions of modernism into Canadian poetry in small magazines and literary journals such as McGill Fortnightly Review, edited by A.J.M. Smith and F. R. Scott. Smith particularly infuses the previous Confederation style with Irish modernist techniques into the poetic innovation. Smith’s own work is highly reminiscent of Yeats for the Yeatsian principle of versification and fervent speeches. This essay thus aims to pick up these threads and weave onto the literary fabric the Canadian modernist verse influenced by Yeats’s work and the Irish literary renaissance.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.012
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.002

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 head0.030
GPT teacher head0.248
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

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