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Record W7071017309

Quotation and Form in Two Chanson-Masses by Orlando di Lasso

2023· dissertation· en· W7071017309 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsCentre for Interdisciplinary Research in Music Media and Technology
Fundersnot available
KeywordsLasso (programming language)Feature (linguistics)Consistency (knowledge bases)Term (time)
DOInot available

Abstract

fetched live from OpenAlex

This study presents analyses of two imitation masses by Orlando di Lasso.The following two pairs of research questions are addressed: 1) How does Lasso quote nonimitative models?What quotation types, i.e., techniques of quotation, are employed?;2) Can generalizations be made about the use of each of the quotation types?Do the quotation types each have formal associations or implications?While focusing on Lasso's treatment of nonimitative models and on the role of quotation in articulating form, the study aims to improve scholarly understanding of Lasso's imitation technique as a whole.The two masses have been selected because their models, Claudin de Sermisy's Il me suffit and Pierre Sandrin's Doulce Memoire, employ similar nonimitative textures and are unified by genre and affect.This study is organized into six chapters.Chapter 1 summarizes historical sources on imitation masses and recent scholarship on Lasso's imitation technique, outlines this study's contributions to this scholarship, and presents the analytical methodology employed.Chapter 2 analyzes the two models, focusing on their similarities and differences in textures, contrapuntal techniques, and form.Chapter 3 proposes a taxonomy of quotation types, defining two categories of quotation (soggetto and polyphonic block) and eight quotation types within them, as well as techniques of alteration of quotations.Chapters 4-5 present analyses of the two masses, and Chapter 6 summarizes this study's findings.Among major findings, this study concludes that 1) while individual quotation types possess some degree of formal associations, a given quotation type can have several varied uses, depending on its formal role; 2) the use of quotations differs between the Kyrie, Sanctus, and Agnus Dei on one hand, and the Gloria and Credo on the other hand, as well as within the former group; 3) despite the stylistic similarity of the two models, the frequency of occurrence of specific quotation types differs significantly between the two masses.iv Rsum Cette tude prsente des analyses de deux messes d'imitation de Roland de Lassus.Les deux paires de questions de recherche suivantes sont abordes : 1) Comment Lassus cite-t-il des modles non imitatifs ?Quels types de citation, c'est--dire techniques de citation, sont employs ?2) Peut-on faire des gnralisations sur l'utilisation de chacun des types de citations ?Chaque type de citation a-t-il des associations ou des implications formelles ?Tout en se concentrant sur le traitement des modles non imitatifs et sur le rle de la citation dans l'articulation de la forme, cette tude vise amliorer la comprhension de la technique d'imitation de Lassus dans son ensemble.Les deux messes ont t choisies parce que leurs modles, Il me suffit de Claudin de Sermisy et Doulce Memoire de Pierre Sandrin, emploient des textures non imitatives similaires et sont unifis par genre et affect.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.252
Teacher spread0.231 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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