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Record W4210865339 · doi:10.4000/rlr.4746

Jiří Měsíc, Leonard Cohen: The Modern Troubadour

2021· article· cs· W4210865339 on OpenAlexaboutno aff
Michael Alm

Bibliographic record

VenueRevue des langues romanes · 2021
Typearticle
Languagecs
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtPhilosophyTheology

Abstract

fetched live from OpenAlex

Au fil des années, tant d’auteurs-compositeurs-interprètes ont été proclamés « troubadours modernes » que cela est devenu un véritable cliché. Pour citer quelques exemples flagrants de cette tendance, Bob Dylan serait le « troubadour américain suprême », Georges Brassens le « dernier des troubadours » et Billy Bragg le « troubadour gaucho ». Or, c’est peut-être l’auteur-compositeur-interprète québécois Leonard Cohen qui, plus que tout autre prétendant, peut se réclamer légitiment de ce titre...

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)0.003
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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.015
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.047
GPT teacher head0.227
Teacher spread0.180 · 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
Published2021
Admission routes1
Has abstractyes

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