MétaCan
Menu
Back to cohort
Record W202186801

Digital scripts on a virtual stage: the design of new online tools for drama students

2006· article· en· W202186801 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Conference on Web-based Education · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsUniversity of AlbertaYork UniversityMcMaster University
Fundersnot available
KeywordsScripting languageComputer scienceVariety (cybernetics)MultimediaDramaReading (process)World Wide WebMotion (physics)Human–computer interactionArtificial intelligenceVisual artsLinguisticsProgramming language
DOInot available

Abstract

fetched live from OpenAlex

Students interested in studying scripts might have a variety of goals and requirements, in part depending on whether they are actors, directors, or literary scholars. In each case, the needs of the students differ slightly, although all are typically involved both in reading the text and watching performances. This paper describes the design of an online system that introduces another alternative for all three groups: the ability to watch the script play itself out dynamically on a virtual stage. By combining this virtual playback with a number of tools for selecting relevant passages and controlling the motion, as well as drawing on any available encoding in the text, this online prototype will have the potential to provide an instructional experience that brings together some of the best features from the printed page and the live staged or filmed production.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.348

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0000.000
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 head0.124
GPT teacher head0.413
Teacher spread0.289 · 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