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Record W4308144800 · doi:10.1080/17458927.2022.2135358

The quality of water: perception and senses of fluid movement

2022· article· en· W4308144800 on OpenAlexfundno aff
Sean Heath

Bibliographic record

VenueThe Senses and Society · 2022
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEmbodied cognitionPerceptionEthnographyDialecticSensory systemImmersion (mathematics)Stimulus modalityPsychologyMovement (music)AestheticsCommunicationSociologyCognitive psychologyArtComputer scienceEpistemologyArtificial intelligenceAnthropology

Abstract

fetched live from OpenAlex

This paper examines tactile sensory dimensions of immersion in water and is based on ethnographic fieldwork amongst competitive youth swimmers in the South East of England. It argues that youth swimmers’ perceptions of the qualities of water, in the pools where they train and compete, are sensuous productions of embodied knowledges and enskilled movements developed and refined through their swimming practice. Thus, it adds to the growing anthropological literature on the senses and physical movement practices by suggesting that the cultural sensory order developed in competitive swimming privileges touch sense modalities. Swimmers must develop a “feel for the water,” the skills and sensory perceptions to assess and assist their interaction with the medium of water. Learning to feel is an ongoing dialectic process of making sensory knowledge developed through an accumulation of regular immersion and occasional absence. This paper asserts that the making of “feel for the water” is an essential element in youth swimmers’ self formation, incorporating their growing and physically changing bodies as experienced through their immersion in a “mirror” environment in constant motion.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.031
GPT teacher head0.304
Teacher spread0.274 · 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.

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

Citations7
Published2022
Admission routes1
Has abstractyes

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