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Record W2906197146 · doi:10.1386/vcr.8.2.189_1

Crafting virtual reality

2018· article· en· W2906197146 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

VenueVirtual Creativity · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsAvatarNarrativeArtAestheticsCraftSorrowVisual artsVirtual realitySpectacleProcess (computing)AnimationComputer scienceHuman–computer interactionLiterature

Abstract

fetched live from OpenAlex

Abstract This text describes, illustrates and theorizes the creation of a virtual reality (VR) landscape/game/sojourn, titled One for Sorrow, an artwork that seeks to confound the dichotomies between hand and digital making and the illusion of two dimensionality versus three dimensionality. This text also describes the making process as a way to position and trouble the translation of the handmade into the digital using collage, assemblage and montage along with craft theory. Although ostensibly a firstperson puzzle game, the experience uses the old nursery rhyme One for Sorrow to entice the player to explore and discover, not necessarily mixed realities, but rather, mixed sensibilities – 2D/3D, hand/algorithm, drawn/photographic. Digital and handmade aesthetics, coupled with considered sound design and narrative, can evoke an immersive experience and provide an unorthodox model for VR art.

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 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: none
Teacher disagreement score0.881
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.274
Teacher spread0.229 · 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