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Un délassement honnête et instructif—Music Drama in Restoration Paris

2002· book-chapter· fr· W2502101537 on OpenAlexaboutno aff
Mark Everist

Bibliographic record

Venuenot available
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaIndustrial RevolutionQuarter (Canadian coin)Context (archaeology)ArtHumanitiesVisual artsSociologyHistoryArchaeology

Abstract

fetched live from OpenAlex

This chapter examines the operatic activities at the Odéon through its physical and material environment and the general characteristics of music drama during the Bourbon Restoration. Although by the end of the Restoration, Paris had seen a great change in the public provision of transport, developments in urban travel there during the 1820s were more or less static. Most of the journeys of the soloists who worked at the Odéon, and of its audiences, had to be made on foot, and as was the case with most industries in Paris, the majority of the theater's employees lived locally. One of the ways in which the extraordinary success of the Odéon was judged was by the large numbers of carriages on the lace de l'Odéon; at other times there were usually none. The social context of any artistic production in the first quarter of the nineteenth century cannot be described without some invocation of the industrial revolution. It is, however, easy to overestimate the importance of industrial innovation in France during the Restoration.

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 score0.020
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.049
GPT teacher head0.261
Teacher spread0.212 · 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
Published2002
Admission routes1
Has abstractyes

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