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Record W3117189196 · doi:10.7202/1069882ar

Un manuscrit musical québécois du XIXe siècle : Annales Musicales du Petit-Cap

2020· article· fr· W3117189196 on OpenAlexaffvenueabout
John Beckwith

Bibliographic record

VenueLes Cahiers de la Société québécoise de recherche en musique · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Le manuscrit Annales Musicales du Petit-Cap se trouve dans les Archives du Séminaire de Québec. Il contient 131 chansons, paroles et mélodies, recueillies par Mgr Thomas-Étienne Hamel qui fut, dans la vie ecclésiastique et académique du Québec, l’un des personnages les plus renommés de son temps. Malgré son importance, les notes biographiques ne mentionnent que très brièvement l’intérêt qu’il portait à la musique, et les auteurs des commentaires musicaux ne semblent pas avoir examiné le manuscrit de près. Les premières 66 chansons du volume appartiennent au répertoire de chansons traditionnelles. Dans la deuxième partie du volume, on trouve 65 pièces qui comprennent des chansons, des romances, et même des vaudevilles, tirés pour la plupart du répertoire populaire français de l’époque, dont onze portent des attributions (compositeur et/ou parolier). Le volume se présente donc comme deux volumes séparés, aux intentions distinctes. Le catalogue des Archives situe la compilation de la collection « entre 1865 et 1908 ». Un examen plus détaillé suggère un laps de temps plus court, de deux ou trois ans seulement, soit au milieu des années 1860. L’article se veut une appréciation ou encore une série d’observations critiques, et non pas une étude ethnomusicologique.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.174
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.003
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.002

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 head0.050
GPT teacher head0.302
Teacher spread0.252 · 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
Published2020
Admission routes3
Has abstractyes

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