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Record W1894938496 · doi:10.22230/src.2012v3n3a96

The Text and the Line of Action: Re-conceiving Watching the Script

2012· article· en· W1894938496 on OpenAlexaffvenue
Jennifer Roberts-Smith

Bibliographic record

VenueScholarly and Research Communication · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicSubtitles and Audiovisual Media
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAction (physics)Object (grammar)Set (abstract data type)Variety (cybernetics)Space (punctuation)Computer scienceLiteral (mathematical logic)Stylized factVisualizationHuman–computer interactionLinguisticsArtificial intelligencePhilosophyPhysicsProgramming language

Abstract

fetched live from OpenAlex

This article discusses the creation of various prototypes of Watching the Script, a reading tool designed to enhance users’ interactions with theatrical texts by providing three key tools: a panel with an overview of the entire document; a reading view that shows the text in readable scale; and a stage view that shows text as speeches and associates them with coloured dots representing characters. The latter feature liberates speeches from their typographical sequence and associates them with mobile character dots, thus focusing the user’s attention of smaller units of text and the relationship between the text and the speaker.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.025
Scholarly communication0.0080.012
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.239
GPT teacher head0.397
Teacher spread0.158 · 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
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

Citations2
Published2012
Admission routes2
Has abstractyes

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