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Record W3205473356

In the Modern Age

2017· book· en· W3205473356 on OpenAlex
Kim Solga

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBloomsbury Academic eBooks · 2017
Typebook
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)Performance studiesArt historyPoliticsMedia studiesHistoryStrategic studiesSociologyAnthropologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

List of Illustrations Notes on Contributors Series Preface Editor's Acknowledgements Introduction: The Impossible Modern Age Kim Solga, Western University, Canada 1 Institutional Frameworks: Theatre, State, and Market in Modern Urban Performance Michael McKinnie, Queen Mary University of London, UK 2 Social Functions: Consumers and Producers Nicholas Ridout, Queen Mary University of London, UK 3 Sexuality and Gender: New Stories and New Spaces on the Modern Stage Kirsten Pullen, Texas A&M University, USA 4 The Environment of Theatre: 'Home' in the Modern Age Kim Solga, Western University, Canada and Joanne Tompkins, The University of Queensland, Australia 5 Circulations: Visual Sovereignty, Transmotion, and Tribalography Jill Carter, University of Tornoto, Canada, Heather Davis-Fisch,University of the Fraser Valley, USA and Ric Knowles, University of Guelph, Canada 6 Interpretations: The Stakes of Audience Interpretation in Twentieth-Century Political Theatre Dassia N. Posner, Northwestern University, USA 7 Communities of Production: A Materialist Reading with an Offstage View Christin Essin,Vanderbilt University, USA and Marlis Schweitzer, York University, Canada 8 Genres and Repertoires: Redressing the Nation in Ireland and Japan Michelle Liu Carriger,University of California, Los Angeles , USA and Aoife Monks, Queen Mary University of London, UK 9 Technologies of Performance: Machinic Staging and Corporeal Choreographies Ashley Ferro-Murray, University of California, Berkeley, USA and Timothy Murray, Cornell University, USA 10 Knowledge Transmission: Media and Memory Sarah Bay-Cheng, Bowdoin College, USA Notes Bibliography Index

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.057
GPT teacher head0.272
Teacher spread0.214 · 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