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Record W4393984206 · doi:10.1515/9781438484235-002

Acknowledgments

2021· book-chapter· en· W4393984206 on OpenAlexaboutno aff
George Toles

Bibliographic record

VenueSUNY Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

I would like to express my gratitude to Murray Pomerance, editor of the exceptional Horizons of Cinema series at SUNY Press, for his long-term friendship and deeply encouraging support of my writing on film.He convinced me by his excitement during our initial conversation on the topic of "theatrical space in film" that there was a book in it, and that I must go ahead with it.Over the next two years, he continued to push me, with his special brand of insistence, to stay the course.It is difficult for me to believe that I have been directing and acting in plays for more than a half century.In the course of this inexhaustibly exhilarating education, I have had ample opportunity to think practically and theoretically about the nature of theatre space and its diverse uses.Gilberto Perez, in his study of the rhetoric of film, The Eloquent Screen, provides some phrases about rhetorical "figures of arrangement" onscreen that apply equally well to our engagement with space onstage: "where it puts us, how it orients us, how it makes us feel" (xxi).He also reminds us of the importance of "spectator specifics" in any consideration of the deployment of film technique.What film form is able to do to spectators, what it enables them to experience in a narrative, is crucially dependent on what they "bring to it" (xxi).I have had a great many enlightening conversations over the years with theatre collaborators, valued colleagues at the University of Manitoba, and students who have shaped my thinking about the theatrical issues I investigate in this book.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.941
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.071
GPT teacher head0.240
Teacher spread0.168 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueSUNY Press eBooksSame topicTheatre and Performance StudiesFrench-language works237,207