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Record W2593099838 · doi:10.7202/1038910ar

Structure modale des charagan - chants liturgiques arméniens - à la lumière du logiciel Sphinx : le genre, les espèces et leurs combinaisons dans la IVe Voix

2017· article· fr· W2593099838 on OpenAlexaffvenue
Sylvia Kasparian, Aram Kerovpyan

Bibliographic record

VenueRevue de l’Université de Moncton · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsArtHumanitiesSphinxVisual arts

Abstract

fetched live from OpenAlex

Cet article se veut une étude originale d’application des méthodes d’analyse de données textuelles à des corpus musicaux. Aucune étude en musicologie moderne n’a encore décrit en détail le système modal en usage dans le répertoire des charagan, chants liturgiques arméniens. Dans ce répertoire, on peut déceler une vingtaine de modes musicaux qui semblent avoir été classés par convention dans un système symbolique d’oktoechos (huit modes). Ceci donne à chacun des modes de l’oktoechos le caractère d’une famille de modes plutôt que d’un seul mode spécifique. Dans cet article, nous présentons une première étape de la description de six versions différentes de 42 chants. En tout, 728 versets découpés en unités de phrases, formules, motifs, degrés ont été analysés avec le logiciel Sphinx. Notre analyse avec Sphinx permet une première description de la structure modale des charagan, faisant ressortir les spécificités des différentes versions, des degrés et des motifs propres aux différentes formules initiales, médiane et finale de ces chants.

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)0.004
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: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.044
GPT teacher head0.262
Teacher spread0.218 · 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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