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Record W4239764172 · doi:10.7202/1062342ar

Words…Words…Words: The Novel, the Play, the Production

2019· article· en· W4239764172 on OpenAlexvenueno aff
Dragana Varagic, Kathleen Irwin

Bibliographic record

VenueTheatre Research in Canada · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)LinguisticsNatural language processingComputer sciencePsychologyPhilosophyEconomics

Abstract

fetched live from OpenAlex

The following Forum essays offer a dynamic counterpoint to the featured articles that precede them.Continuing the exploration of theatre without or beyond borders, the first two pieces investigate the aesthetic and political challenges, as well as the rewards, of producing translated versions of Englishlanguage Canadian plays elsewhere.Dragana Varagic and Kathleen Irwin write about their artistic collaboration on the Montenegrin production of Margaret Atwood's The Penelopiad, while Samer El-Saber documents his experience as the director of a translated production of Arthur Milner's Facts, which toured Israel and Palestine.Patrick Blenkarn rounds out the Forum section with a very different take on borders and the politics of performance, issuing a passionate yet playful call for theatre artists and scholars to look more closely at the role that objects and other often-disappeared non-humans play in theatrical productions.Together, these Forum essays urge theatre artists and scholars to continue pushing beyond traditional borders to find new approaches to making and writing about theatre.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.006
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0240.004

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 head0.074
GPT teacher head0.294
Teacher spread0.221 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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