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Record W4236234780 · doi:10.4324/9781315112145-7

Group fitness instructors as local level health promoters: a Foucauldian analysis of the politics of health/fitness dynamic

2017· book-chapter· en· W4236234780 on OpenAlexaboutno aff
Pirkko Markula, Jocelyn Chikinda

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSports and Physical Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPromoterSociologyPsychologyPolitical scienceBiologyGeneticsGeneLawGene expression

Abstract

fetched live from OpenAlex

As fitness professionals, group fitness instructors play an important role in promoting recommended public health initiatives to various communities. While their practices are connected to public health policy, their certifications are often provided by commercially operated agencies in the North American context. The interrelationship of commercial and governmental control creates a complex environment where certain ways of understanding health and the fit body become dominant. In this paper, consequently, we were interested in what fitness knowledges informed Canadian group fitness instructors’ practices. Approaching our topic from a Foucauldian perspective, we conducted semi-structured interviews with five instructors who had a provincially governed fitness qualification. The findings revealed that two knowledges – health as illness prevention and the aesthetics of health – strongly directed the instructors’ class design despite their willingness to think, particularly about health, differently. Their certification reinforced the medical, physiological, and psychological knowledges that tend to assign health as individual responsibility, but left the social issues behind the healthy, fit body unproblematized. From a Foucauldian perspective, these dominant knowledges locked the instructors within dual control of anatomo-political and bio-political neoliberal power relations. To assist the instructors to problematize the control mechanism behind the dominant knowledge structure, we call for inclusion of broader knowledge base in their certification training through which serving the multiple needs of their various clientele can be constructively negotiated.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.019
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.385
Teacher spread0.312 · 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.

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

Citations6
Published2017
Admission routes1
Has abstractyes

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