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Record W2810703644 · doi:10.29173/pandpr29358

On the Lived, Imagined Body: A Phenomenological Praxis of a Somatic Architecture

2018· article· en· W2810703644 on OpenAlexaffvenue
Christine Bellerose

Bibliographic record

VenuePhenomenology & Practice · 2018
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsYork University
Fundersnot available
KeywordsDancePhenomenology (philosophy)PraxisLived experienceConceptualizationAestheticsVisual artsContemporary dancePsychologyArtPsychoanalysisPhilosophyEpistemology

Abstract

fetched live from OpenAlex

"On the Lived, Imagined Body" is a reflective remembering from the point of view of a movementperformance artist's training session learning to dance with imagined wings when in her livedexperience, the body of the dancer is aware somatically of moving with wings that do not actuallyexist. The overarching conceptualization in this article describes the inner-outer tensions, thekinesthetic, somatic, proprioceptive penetration inward and the visual-kinetic, imaginative reachoutward. The landmark work from dance phenomenologist Maxine Sheets-Johnstone (1966/2015),The Phenomenology of Dance, prompted the author of this article to translate an embodiedexperiential and imagined event for readers who might never have had the experience of a somaticmovement training of dancing with imagined wings as a lived experience. The phenomenology ofdancing as if with lived and imagined wings is developed further as a result of two week-longpresencing workshops taught by contemporary dancer-choreographer and somatics teacher BenoîtLachambre (2015/2016). For movement artists and dance practitioners, experiencing imaginarywings as lived wings means experiencing movement through mindful awareness and consciousintention of a praxis of somatic architecture.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.041
Scholarly communication0.0050.007
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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 designTheoretical or conceptual
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

Citations1
Published2018
Admission routes2
Has abstractyes

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