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Record W2971054582 · doi:10.3138/9781487571924

Scenography in Canada: Selected Designers

2004· book· en· W2971054582 on OpenAlexaboutno aff
Natalie Rewa

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2004
Typebook
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsScenographyArchitectural engineeringVisual artsArtEngineering

Abstract

fetched live from OpenAlex

Scenography, the design for live performance, conceives of the creation of an environment rather than merely providing décor or background. Scenography in Canada: Selected Designers, is a new departure in the critical discussion of theatre in Canada, in which Natalie Rewa examines the work of seven of the country's important theatre designers: Susan Benson, Astrid Janson, Mary Kerr, Michael Levine, Ken MacDonald, Jim Plaxton, and Teresa Przybylski. These artists have been responsible for exciting initiatives in design during one of the most dynamic periods in the history of Canadian theatre, from the early 1970s to the late 1990s, when new companies were founded and new theatre facilities were created. Juxtaposing commentary by the artist and her own analysis, Rewa discusses the interactions of light, sets, and costume, and demonstrates how a multifaceted visual text that includes human performance is created in the works of each artist. The volume includes a collection of sketches, photos of work in progress, and completed designs, many of which have not been previously published

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 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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.188
Teacher spread0.175 · 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 teacher head, not a consensus.

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

Citations2
Published2004
Admission routes1
Has abstractyes

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