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Record W4240268280 · doi:10.32920/ryerson.14646825.v1

Gravity is quiet: an immersive multiimage video installation

2021· preprint· en· W4240268280 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsThe King's UniversityToronto Metropolitan University
Fundersnot available
KeywordsMeditationQUIETConsciousnessCreativityVisual artsMental imagePortraitPsychologyAestheticsSocial psychologyArtHistoryCognition

Abstract

fetched live from OpenAlex

This paper presents research related to an immersive installation that explores the possibility of creating a portrait of a particular state of mind. This optimal state of consciousness, called flow and coined by psychologist Mihaly Csikszentmihalyi reveals a subtle and hidden world of true presence and untapped potential. Entitled Gravity is quiet, this 3-channel audio visual installation examines the world of highline as a walking meditation and mines the introspections of various flow practitioners through a singular, yet symphonically built voiceover. The documented individuals push the perceived boundaries of their own mental and physical capacities, illustrating their acceptance of the culture of risk, and the possibility of harnessing fear, discomfort, creativity and joy through the world of movement. Subjects were filmed in Canyon Sainte-Anne and Kamouraska, Quebec in the late summer of 2015. The installation is based on data collected through participant observation, semi-structured interviews, and visual content analysis of sportfocused media.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score1.000

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 science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.000

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 head0.035
GPT teacher head0.359
Teacher spread0.323 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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