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Record W2740583037 · doi:10.25071/1718-4657.36769

Going North: Glenn Gould, Stars and the Authentic Self

2017· article· en· W2740583037 on OpenAlexvenueaboutno aff
Emilie Hurst

Bibliographic record

VenueIntersections conference journal · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyArtIndie filmCentennialLiteratureHistoryMedia studiesArt historySociology

Abstract

fetched live from OpenAlex

On December 28th, 1967, CBC aired an hour long documentary labelled the The Idea of North as part of its yearlong Canadian centennial celebration. Conceived by the well-known Canadian pianist Glenn Gould, the piece puts the voices of five speakers in dialogue by splicing and juxtaposing the text of the five, creating an aural collage which highlights common themes. The end result forms what Gould termed “Contrapuntal radio,” a format he would employ again in the next two installment of The Solitude Trilogy. A brief fragment from this documentary is later sampled by Canadian indie bad Stars, to open their 2012 album The North. Whether or not Stars were overtly influenced by Glenn Gould’s sound documentary is unclear. What I would like to suggests is that like The Idea of North, the album participates in a long Canadian tradition of engaging with northern themes, and thus contribute to the discursive formation of the North. Similar to the way in Gould juxtaposed the voices of his subjects, I will be taking the opening citation of The North as an invitation to put the two works in dialogue and argue that by employing a Northern discourse, often steeped in nostalgia, Stars are able to position themselves as an authentic indie band.

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)0.003
metaresearch head score (Gemma)0.005
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.023
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.056
GPT teacher head0.374
Teacher spread0.318 · 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
Published2017
Admission routes2
Has abstractyes

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