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Record W2883723401 · doi:10.14288/cl.v0i225.187570

"Contrapuntal Politics: Glenn Gould, Canadian Landscape, and the Cold War"

2015· article· en· W2883723401 on OpenAlexaffabout
Anna Sajecki

Bibliographic record

VenueOpen Collections · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPoliticsTrilogyCriticismDemocracyHistoryCold warLiteratureAestheticsArtArt historyLawPolitical science

Abstract

fetched live from OpenAlex

This article argues that Glenn Gould’s celebrated Solitude Trilogy— when framed in relation to Gould’s lesser-known documentary “The Search for Pet Clark”— displays a Canadian response to Cold War tensions realized through Gould’s contrapuntal form. “The Search for Pet Clark” has traditionally been classified as a piece of music criticism, but the documentary is simultaneously preoccupied with the effects of Americanization on Canadian space. The article demonstrates that Gould refused to simply equate the United States with democratic pluralism and the USSR with totalitarianism, instead viewing totalitarianism as a politics that circulated in manifold ways and that affected Canadian space through the homogenizing forces of post-war American capital. For Gould, the antidote to totalitarianism was a multitudinous and simultaneously isolationist inclination, an expression Gould readily found in a long-idealized notion of Canadian space that allowed him to expand on and make more manifest the political possibilities of the contrapuntal.

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 score0.095
Threshold uncertainty score0.686

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0510.034
Scholarly communication0.0120.003
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.241
Teacher spread0.225 · 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
Published2015
Admission routes2
Has abstractyes

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