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Record W2110364754 · doi:10.7202/1030868ar

The Cyclic Nature of Joni Mitchell's Court and Spark

2015· article· en· W2110364754 on OpenAlexvenueno aff
Susan Neimoyer

Bibliographic record

VenueIntersections Canadian Journal of Music · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSPARK (programming language)ScholarshipRomancePerspective (graphical)MusicalInferenceLiteratureNorm (philosophy)Computer scienceEpistemologyArtPhilosophyArtificial intelligenceLawPolitical science

Abstract

fetched live from OpenAlex

Current scholarship recognizes several of Joni Mitchell’s albums as being cyclic, or based on a unifying concept.Court and Spark(1974), however, is not numbered among them, despite Mitchell’s having described it as “a discourse on romantic love.” Following the inference that this album may have been conceived as an extended, multi-movement work, this article examines both its textual and musical aspects, seeking unifying characteristics. The cyclic nature of the album is uncovered, showing it to be more unified from a musical perspective than a textual one. This approach is the opposite of Mitchell’s perceived norm, suggesting her compositional process may have been more sophisticated than is currently thought.

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)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.019
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.206
Teacher spread0.176 · 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
GenreOther

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 routes1
Has abstractyes

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