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Record W2281011474 · doi:10.3138/jcs.49.1.73

“Poet and Audience Actually Exist”: The Contact Poetry Reading Series and the Rise of Literary Readings in Canada

2015· article· en· W2281011474 on OpenAlexvenueaboutno aff
Cameron Anstee

Bibliographic record

VenueJournal of Canadian Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryReading (process)ScholarshipLiteraturePerspective (graphical)American poetryHistorySociologyArtVisual artsPhilosophyLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

This essay documents and assesses the history of the Contact Poetry Reading Series (Toronto, 1957-62), arguing that the Contact readings mark the emergence of a vital form of modern literary expression in Canada. The essay has two primary goals. The first is to contextualize the Contact Poetry Reading Series as a fundamental component of Raymond Souster’s editorial work in order to enrich dominant critical perspective of Souster’s accomplishments as an editor and publisher. The Contact readings express the same drive on Souster’s part to “make contact” (between generations, between international communities, between poet and reader) that is identifiable in his work with Contact and Contact Press, only in this case under material conditions unique to the public performance of poetry. The second goal is to situate the Contact Poetry Reading Series within current book history and performance studies scholarship. In doing so, this essay positions the literary reading as an essential but understudied component of processes of publication, distribution, and reception of poetry in Canada.

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)0.002
metaresearch head score (Gemma)0.011
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 score0.185
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0510.033
Scholarly communication0.0200.005
Open science0.0020.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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