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Record W1549737757

Machine-Age Discourse, Mechanical Ballet, and Popular Song as Alternative Document in Dorothy Livesay’s "Day and Night"

2007· article· en· W1549737757 on OpenAlexvenueaboutno aff
Brenda Carr Vellino

Bibliographic record

VenueStudies in Canadian Literature · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaBourgeoisieModernism (music)PoetryLiteratureDialogicArtMusicalPoliticsAestheticsSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Dorothy Livesay's Day and Night has often been cited as the proof text for her 1969 essay on the Canadian documentary poem, but its documents are not those conventionally incorporated in the documentary film and literary traditions. Livesay creates a documentary effect in the poem through dialogic popular culture citation and recontextualization. Documentary poem theory, such as that of Michael Thurston and Tyrus Miller, offers a point of departure for understanding the musical and film intertexts in Day and Night within the tradition of documentary modernism practiced by the socialist left. The poem participates in a horizon of Machine Age discourse prominent in a variety of art forms, in race politics in the labour movement, and in what Candida Rifkind sees as the disavowal of a bourgeois life of leisure by the socialist intelligentsia, who came to see their intellectual/artistic work as a form of labour positioned alongside the common worker.

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)0.004
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 score0.485
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.043
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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
Published2007
Admission routes2
Has abstractyes

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