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Record W3040088910 · doi:10.1145/3357236.3395532

JeL

2020· article· en· W3040088910 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFeelingSynchronization (alternating current)Connection (principal bundle)Computer scienceProcess (computing)Human–computer interactionReflection (computer programming)Virtual realityBreathingTelecommunicationsPsychologyEngineeringSocial psychology

Abstract

fetched live from OpenAlex

Bio-responsive immersive Virtual Reality can transform our interactions to bring awareness to our physiological rhythms fostering connection with our bodies, each other and nature. JeL is an immersive installation that aims to foster a feeling of connection through the process of breathing synchronization. Two immersants synchronize their breathing to fuel the growth of a coral-like structure that, together with the interactions of others, populates an initially empty coral reef. JeL is designed to support an intimate connection between users and with nature, sending a message about our collective capacity to care for the environment. JeL is an installation and research platform for exploring breathing synchronization and its effect on the feeling of connection. It was well received at a digital art festival where participants were able to relax and synchronize using the installation. Reflection on our design process and observations provides insights for the development of systems that promote connection.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.657

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 studies0.0000.000
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 head0.050
GPT teacher head0.252
Teacher spread0.202 · 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

Quick stats

Citations65
Published2020
Admission routes1
Has abstractyes

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