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Record W3127352843

A Practical Introduction to Motion-Sensing Phenomenology

2021· article· en· W3127352843 on OpenAlexaff
Stephen J. Smith, Rebecca Lloyd

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversity of OttawaSimon Fraser University
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La phenomenologie est une approche de recherche qui decrit et analyse une experience vecue.  La phenomenologie du mouvement senti se distingue des autres domaines etudies en phenomenologie; cette distinction tient a la primaute du mouvement, non seulement dans les diverses dimensions de l’activite physique presentes mais egalement dans cette construction de sens du « je », tant kinesique que kinesthesique. Cet article a comme objectif d’offrir une forme d’accompagnement a la conceptualisation d’une recherche  en phenomenologie du mouvement senti. Nous y discutons l’importance de (a) se sentir attire par un sujet de recherche, (b) formuler des questions de recherche qui evoluent d’une realite du mouvement pris pour acquis et fonctionnel a une realite experientielle du « flow », (c) s’engager dans des questions de recherche par un ecriture qui demeure ancree dans les mouvements abordes. Les significations d’ordre tactile-kinesique, kinesthesique sont d’un attrait evident car la phenomenologie du mouvement senti transforme en langage intelligible ce qui est souvent cache et ineffable. Les significations emergentes et les transformations possibles sont surtout en lien avec une appreciation plus grande de notre vie active et des interactions. Mots cles : phenomenologie; kinesthesie; mouvement; flow.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.068
GPT teacher head0.309
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations6
Published2021
Admission routes1
Has abstractyes

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Same venueRevue phénEPS / PHEnex JournalSame topicLinguistics and Discourse AnalysisFrench-language works237,207