MétaCan
Menu
Back to cohort
Record W2095156330 · doi:10.1109/mcg.2005.20

Swimming across the Pacific: a VR swimming interface

2005· article· en· W2095156330 on OpenAlexaff
Sidney Fels, Yuichiro Kinoshita, Tzu-Pei Grace Chen, Yasufumi Takama, Steve Yohanan, Ashley Gadd, Sachiyo Takahashi, Kenji Funahashi

Bibliographic record

VenueIEEE Computer Graphics and Applications · 2005
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAirplaneInterface (matter)ClothingComputer graphics (images)Computer scienceAeronauticsVisual artsMultimediaHuman–computer interactionEngineeringArtHistoryAerospace engineeringArchaeology

Abstract

fetched live from OpenAlex

A locomotion interface for swimming and floating in a virtual ocean is part of the interactive installation of the Swimming Across the Pacific artwork. In the 'Swimming Across the Pacific' artwork, the authors create a space for collaborative artwork in an airplane by having a swimmer swim while flying across the Pacific Ocean. The swimmer's swimming represents a transformation of the airplane into an art gallery where the medium is the airplane, much as Misheff transformed the Queen Elizabeth II while he swam during her journey. By using elements such as the AV system, food, and clothing in the airplane for expression, fellow artists, scientists, engineers, musicians, media, and other passengers participate together to create artwork. This article is available with a short video documentary on CD-ROM.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0300.003

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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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 designBench or experimental
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

Citations37
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Computer Graphics and ApplicationsSame topicVirtual Reality Applications and ImpactsFrench-language works237,207