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Record W7067180247

Kent Nagano conducts Messiaen - with Pierre-Laurent Aimard and Hans-Ola Ericsson Orchestre symphonique de Montréal

2017· other· en· W7067180247 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSymphonyMythologyMainstreamMeditationMusical
DOInot available

Abstract

fetched live from OpenAlex

Discover Olivier Messiaen's monumental, idiosyncratic, and deeply moving Turangalîla-Symphonie in this concert dedicated to beloved 20th-century composer. Pianist Pierre-Laurent Aimard and organist Hans-Ola Ericsson join Kent Nagano and the Orchestre symphonique de Montréal (OSM) for this program that also features Messiaen's L'ascension. Fervently religious, enthusiastically esoteric, provocatively innovative ... Messiaen and his music challenge us with their very existence. While not every work by this composer has become widely accepted, his Turangalîla-Symphonie is arguably one of the few symphonic works of the 20th century to enter the mainstream classical music canon. Unlike most of Messiaen's compositions, Turangalîla is inspired by the myth of Tristan and Isolde, and as Messiaen put it, "the whole work is a love song." Composed between 1946 and 1948, the symphony was premiered December 2, 1949 under the direction of Leonard Bernstein. In contrast, Messiaen's L'ascension, an orchestral meditation on an important Roman Catholic holy day, reflects the typical themes of the majority of the composer's œuvre. Photo: Kent Nagano © Felix Broede

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: Other · Consensus signal: Other
Teacher disagreement score0.283
Threshold uncertainty score0.946

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2830.055

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 head0.025
GPT teacher head0.197
Teacher spread0.171 · 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
Published2017
Admission routes1
Has abstractyes

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