MétaCan
Menu
Back to cohort
Record W2906472380 · doi:10.1162/leon_a_01721

Samuel Beckett in Virtual Reality: Exploring Narrative Using Free Viewpoint Video

2018· article· en· W2906472380 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

VenueLeonardo · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsCARE CanadaTrinity College
FundersScience Foundation Ireland
KeywordsNarrativeVirtual realityComputer scienceHuman–computer interactionMultimediaVideo gameVisual artsArtLiterature

Abstract

fetched live from OpenAlex

Abstract This article describes an investigation of interactive narrative in virtual reality (VR) through Samuel Beckett's theatrical text Play. Actors are captured in a green screen environment using free-viewpoint video (FVV). Built in a game engine, the scene is complete with binaural spatial audio and six degrees of freedom of movement. The project explores how ludic qualities in the original text elicit the conversational and interactive specificities of the digital medium. The work affirms potential for interactive narrative in VR, opens new experiences of the text and highlights the reorganization of the author-audience dynamic.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.141
GPT teacher head0.302
Teacher spread0.161 · 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