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Record W4391869846 · doi:10.51644/9781554581337

All These Roads

2008· book· en· W4391869846 on OpenAlexaboutno aff
Louis Dudek, Karis Shearer, Frank Davey

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

A passionate believer in the power of art—and especially poetry—to influence and critique contemporary culture, Louis Dudek devoted much of his life to shaping the Canadian literary scene through his meditative and experimental poems as well as his work in publishing and teaching. All These Roads: The Poetry of Louis Dudek brings together thirty-five of Dudek’s poems written over the course of his sixty-year career. Much of Dudek’s poetry is about the practice of art, with comment on the way the craft of poetry is mediated by such factors as university classes, public readings, reviews, commercial presses, and academic conferences. The poems in this selection—witty satires, short lyrics, and long sequences—reflect self-consciously on the relationship between art and life and will draw readers into the dramatic mid-century literary and cultural debates in which Dudek was an important participant. Karis Shearer’s introduction provides an overview of Dudek’s prolific career as poet, professor, editor, publisher, and critic, and considers the ways in which Dudek’s functional poems help, both formally and thematically, to carry out the tasks associated with those roles. Comparing Dudek’s reception to that of NourbeSe Philip, Marilyn Dumont, and Roy Miki, Frank Davey’s afterword locates Dudek in a pre-1980s version of multiculturalism that is more complex than many critics would have it. According to Davey, Dudek broadened the limits on the possible range and type of poetry for subsequent generations of Canadian writers.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.613
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0170.009
Open science0.0020.008
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.6130.408

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 head0.058
GPT teacher head0.233
Teacher spread0.175 · 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.

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
Published2008
Admission routes1
Has abstractyes

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