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Record W7145478600

Always Magnetized by the North : Subconscious Imagination in the Writings of Glenn Gould

2021· article· ja· W7145478600 on OpenAlexaboutno aff
Junichi Miyazawa

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2021
Typearticle
Languageja
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubconsciousTrilogySolitudeFugue (hash function)NonconformityInterpretation (philosophy)Dream
DOInot available

Abstract

fetched live from OpenAlex

Canada's North was a unique source of inspiration to the imagination of Glenn Gould(1932-1982). In his startlingly original "contrapuntal" radio documentaries for the CBC, Gould pursued both the landscape and the mindscape of the North. Indeed, Gould titled the first in his signal Solitude Trilogy of radio documentaries "The Idea of North"(1967). The Solitude Trilogy explores the North by way of isolation, nonconformity and detachment. Mediating these values personally, and projecting them onto Canada as a whole(cf. Sherrill E. Grace's "Canada-as-North"), Gould found the anchor for his decision to remain in Canada, after retiring from the turbulence of concert-playing in 1964. In fact, Gould's idea of North went well beyond The Solitude Trilogy, and this paper examines Gould's search for North as a negative, but productive, background, revealing a subconscious correspondence to the fugue process to which Gould was attached, as a "still, desert place" (Albert Schweitzer). The discussion finally uncovers Gould's early idea of North, found in one of his earliest writings. "Address to a Graduation"(1964)reveals the hidden essence of his North, which triangulates with Gould and the Canadian imagination, resulting in a distinctively Northern, Gouldian and Canadian plane.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.239
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0330.069
Scholarly communication0.0140.006
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.289
Teacher spread0.270 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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