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Record W3205971161 · doi:10.1177/23259582211046762

A Qualitative Study of Fitness Coaches’ Experiences in Community Based Exercise with People Living with HIV

2021· article· en· W3205971161 on OpenAlexafffundabout
Patricia Solomon, Soo Chan Carusone, Aileen M. Davis, Rachel Aubry, Kelly K. O’Brien

Bibliographic record

VenueJournal of the International Association of Providers of AIDS Care (JIAPAC) · 2021
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsUniversity of TorontoUniversity Health NetworkImpactToronto Rehabilitation InstituteCasey HouseMcMaster University
FundersInstitute of Infection and ImmunityCanadian Institutes of Health Research
KeywordsHuman immunodeficiency virus (HIV)Qualitative researchMedicineGerontologyCommunity centerPsychological interventionPopulationPsychologyNursingFamily medicineEnvironmental healthRecreation

Abstract

fetched live from OpenAlex

Fitness coaches need to understand the needs of people living with HIV engaged in community-based exercise (CBE) to be competent in developing exercises programs with this population. Our aim was to understand coaches' experiences engaging in a CBE intervention with PLWH in an urban center in Canada. As part of a broader study, coaches supervised weekly hour-long individualized exercise sessions with PLWH over a six-month period. Using qualitative longitudinal methods, we interviewed coaches up to three times over six months. Transcribed interviews were analyzed cross-sectionally and longitudinally. Seven coaches participated in 15 interviews. Developing confidence, improving health and experiencing a sense of community were viewed as key benefits to PLWH by the coaches. Challenges included accommodating the episodic nature of HIV and ensuring they felt prepared to work with PLWH. Understanding the experiences of coaches engaged in CBE can assist in tailoring exercise programs to meet the needs of PLWH.

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)0.001
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 score0.453
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.025
GPT teacher head0.339
Teacher spread0.314 · 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

Citations5
Published2021
Admission routes3
Has abstractyes

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