MétaCan
Menu
← Back to cohort

Setting the Standard

2020· reference-entry· en· W4205994454 on OpenAlexaff
Kimberly A. White

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsDynamics (music)AestheticsExpression (computer science)HistorySociologyVisual artsArtComputer sciencePedagogy

Abstract

fetched live from OpenAlex

The individual and collective contributions and professional activities of singers had a significant effect on the programming, circulation, and status of operatic works in nineteenth-century France. In the past three decades, scholars engaged in research on performers have made significant strides in revealing, on the one hand, the collaboration of singers and their contributions to the works they performed and, on the other, the structure and dynamics of the operatic marketplace. This chapter explores the various ways in which singers influenced the shape of repertory through their individual choices, the institutional structures under which they worked, and the shifting patterns and places of performance. Indeed, nostalgia for the singers who “created” a role had an important function in the canonization process: the French expression créer un rôle (“create a role”) consciously elevated this activity and imbued it with authorial force. This chapter is paired with Hilary Poriss’s “Redefining the standard: Pauline Viardot and Gluck’s Orphée.”

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)0.010
metaresearch head score (Gemma)0.019
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 score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.017
Scholarly communication0.0170.012
Open science0.0020.013
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0370.016

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 head0.038
GPT teacher head0.228
Teacher spread0.190 · 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

Explore more

Same topicHistorical Studies and Socio-cultural Analysis→French-language works237,207→