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Record W7067555288

Messiaen's Forgotten Mie: Rediscovering the organ music of Claire Delbos

2020· dissertation· en· W7067555288 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2020
Typedissertation
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
FundersMcGill University
KeywordsMelodyPassionMusicalParaphraseNarrativeWifeBiography
DOInot available

Abstract

fetched live from OpenAlex

While Olivier Messiaen is an increasingly popular figure in music research, the life and works of his first wife Claire Delbos (1906-1959) are still shrouded in obscurity.Her compositional career spanned just over 10 years, blossoming alongside yet remaining independent from technical developments in Messiaen's own music.Delbos wrote at least four works for organ, all of which her husband supervised and performed: Deux Pièces (H.Hérelle & Cie, 1935), Paraphrase (Lemoine, 1949), Parce, Domine (Rouart-Lerolle, 1952), and L'Offrande à Marie (unpublished, 1938-1941).This study-the first devoted solely to her life and music-will define and contextualize Delbos's compositional language.Using these four works as case studies, I outline her unique approaches to melodic construction, harmony, rhythm, counterpoint, and quotation.Newly available material such as correspondence, diaries, and manuscripts will also offer a more complete narrative of her career than previous scholarship.Although these documents shed light on Delbos's compositional process, they also reveal the extent to which Messiaen played a role in it.Copious annotations and revisions for the La Trinité instrument become new perspectives on his organ career during the 1930s and '40s.Through this combination of musical analysis and archival research, I untangle the story behind Messiaen's forgotten "Mie," an artist who lived and collaborated with one of the twentieth century's most influential composers.

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 score0.019
Threshold uncertainty score0.039

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 studies0.0100.010
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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
Published2020
Admission routes1
Has abstractyes

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