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Record W2329306959 · doi:10.1386/vi.3.1.21_1

Walking art: Sustaining ourselves as arts educators

2014· article· en· W2329306959 on OpenAlexaff
Valerie Triggs, Rita L. Irwin, Carl Leggo

Bibliographic record

VenueVisual Inquiry · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of British ColumbiaUniversity of Regina
Fundersnot available
KeywordsSustenanceFeelingEmbodied cognitionAestheticsPerceptionMovement (music)PsychologyVisual artsThe artsAbleismSociologySocial psychologyArtEpistemology

Abstract

fetched live from OpenAlex

Abstract Through a year-long collaborative practice of walking as art, three artists/researchers/teachers investigated embodied perception in terms of its capacities for self-sustenance. Amidst the rush and routine of busy lives, familiarity with feelings of potential as the nourishment sustaining bodily movement is often forgotten. However, in immersive practices such as walking, conceptual categories are not as significant as the positions and orientations that postures address, and the degrees of potential bodies feel in assuming these postures. Perception derives its sustenance in a social awareness at the level of the body where availabilities for next movement are generated by sensations of a world in movement already underway. The repeated aesthetic experience of practice-generated potential in every bodily repositioning grounds philosophical matters of perception in this study. This article describes our enquiry into the integrating capacities of walking art for feelings of relational aliveness and it includes both poetry and visual art as part of the study.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.017
Scholarly communication0.0090.004
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.056
GPT teacher head0.343
Teacher spread0.287 · 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 designQualitative
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

Citations43
Published2014
Admission routes1
Has abstractyes

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