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Record W1836073139 · doi:10.3109/07380577.2015.1057669

Exploring Winter Community Participation Among Wheelchair Users: An Online Focus Group

2015· article· en· W1836073139 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOccupational Therapy In Health Care · 2015
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsResearch ManitobaUniversity of Manitoba
FundersManitoba Health Research Council
KeywordsFocus groupWheelchairModerationPsychologyMedical educationApplied psychologyQualitative researchPublic relationsSocial psychologyComputer scienceSociologyBusinessMedicinePolitical scienceMarketingWorld Wide Web

Abstract

fetched live from OpenAlex

The aim of this qualitative study was to gain an understanding of what people who use wheeled mobility devices (WMDs; e.g., manual and power wheelchairs, and scooters) identify as environmental barriers to community participation in cold weather climates, and to explore recommendations to overcome environmental barriers to community participation. Researchers conducted an online asynchronous focus group that spanned seven days, with eight individuals who use WMDs. Each day, participants were asked to respond to a moderator-provided question, and to engage with one another around the topic area. The researchers analyzed the verbatim data using an inductive content-analysis approach. Four categories emerged from the data: (1) winter barriers to community participation; (2) life resumes in spring and summer; (3) change requires awareness, education, and advocacy; and (4) winter participation is a right. Participants confirmed that it is a collective responsibility to ensure that WMD users are able to participate in the community throughout the seasons.

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.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.603
GPT teacher head0.529
Teacher spread0.075 · 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