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Record W4243257358 · doi:10.3998/mpub.10151718

Everyone’s Theater

2019· book· en· W4243257358 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2019
Typebook
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurDramaArtVisual artsHistoryMedia studiesLiteratureSociologyArchaeology

Abstract

fetched live from OpenAlex

Nearly all residents of England and its colonies between 1860 and 1914 were active theatergoers, and many participated in the amateur theatricals that defined late Victorian life. The Victorian theater was not an abstract figuration of the world as a stage, but a media system enmeshed in mass lived experience that fulfilled in actuality the concept of a theatergoing nation. Everyone's Theater turns to local history, the words of everyday Victorians found in their diaries and production records, to recover this lost chapter of theater history in which amateur drama domesticates the stage. Professional actors and playwrights struggled to make their productions compatible with ideas and techniques that could be safely reproduced in the home—and in amateur performances from Canada to India. This became the first true English national theater: a society whose myriad classes found common ground in theatrical display. Everyone's Theater provides new ways to extend Victorian literature into the dimension of voice, sound, and embodiment, and to appreciate the pleasures of Victorian theatricality.

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 score0.059
Threshold uncertainty score0.198

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 studies0.0060.003
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0590.011

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 head0.023
GPT teacher head0.166
Teacher spread0.142 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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