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Record W4385362826 · doi:10.1080/23322551.2023.2211418

Real-time lighting design: a pioneer, a work, and a collaboration

2023· article· en· W4385362826 on OpenAlex
Alexandre Saunier

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

VenueTheatre & Performance Design · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsCyberneticsProcess (computing)Computer scienceControl (management)Work (physics)Architectural engineeringArtificial lightHuman–computer interactionClass (philosophy)MultimediaArtificial intelligenceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

This article proposes three stories that exemplify different metaphors, mechanics, and practices of real-time lighting design. Starting with the example of cybernetician Gordon Pask’s Musicolour, the article proposes a cybernetic-based model of control that favors principles of human–machine co-operation. Then, the analysis of the collaboration between a lighting designer and a multimedia artist illustrates the need for and challenges of radical interdisciplinarity during the production of a stage performance. Finally, the description of a contemporary multimedia installation demonstrates the principles of an aesthetic of lighting grounded in machine-based behaviors. Through those three stories, this article aims to initiate a discussion on the hybridization of lighting with real-time computing, a process that significantly transforms the practice of artists and lighting designers but remains understudied.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.042
GPT teacher head0.225
Teacher spread0.184 · 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