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Record W4400206291 · doi:10.1080/17483107.2024.2362895

Should I stay or should I go? An exploratory study comparing wheelchair-adapted rowing at home vs. in community gyms

2024· article· en· W4400206291 on OpenAlexafffund
Mine Celebi, Anika Cheng, Bonita Sawatzky, Johanne Mattie, Jaimie Borisoff, James Laskin, W. Ben Mortenson

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsBritish Columbia Institute of TechnologyInternational Collaboration On Repair DiscoveriesVancouver Coastal Health Research InstituteUniversity of British Columbia
FundersRick Hansen Foundation
KeywordsRowingWheelchairPhysical medicine and rehabilitationPsychologyPhysical therapyAeronauticsMedicineComputer scienceEngineeringWorld Wide WebHistory

Abstract

fetched live from OpenAlex

PURPOSE: Wheelchair users experience many barriers to physical activity as affordable and accessible exercise equipment options are limited. Thus, the home-based adapted rower (aROW) and gym-based aROW were developed. The objectives were to determine: 1) wheelchair users' preferences, perspectives, facilitators, and barriers to using the home-based versus the gym-based aROW, 2) perceived usability of the home and gym aROWs, and 3) recommendations to adapt the aROW further for home and community use. MATERIALS AND METHODS: In this two-phase exploratory mixed-methods study, participants completed one month of using a home aROW, followed by one month of using a community gym aROW. After each phase, participants completed a semi-structured interview and the System Usability Scale (SUS) questionnaire. Interview data were analyzed using conventional content analysis and effect size comparing SUS data was calculated. RESULTS AND CONCLUSIONS: Four categories were identified: what worked well, barriers to using the aROWs, what could be improved and important considerations. There was a large effect size in perceived usability between the aROWs with participants preferring the home aROW. Overall, rowing was enjoyable, and participants achieved positive physical outcomes. As preferences are individual, the home aROW provides wheelchair users with a potential choice between home or gym exercise.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.121
GPT teacher head0.417
Teacher spread0.296 · 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 designObservational
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

Citations0
Published2024
Admission routes2
Has abstractyes

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