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Record W3012598420 · doi:10.1186/s12960-020-0453-6

Development of a toolkit for educators of the wheelchair service provision process: the Seating and Mobility Academic Resource Toolkit (SMART)

2020· article· en· W3012598420 on OpenAlexaff
Paula W. Rushton, Karen Fung, Mélina Gauthier, Mary Goldberg, Maria Luisa Toro, Nicky Seymour, Jonathan Pearlman

Bibliographic record

VenueHuman Resources for Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersUnited States Agency for International Development
KeywordsWheelchairCurriculumService (business)Resource (disambiguation)Medical educationProcess (computing)MedicinePsychologyComputer scienceWorld Wide WebPedagogyBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: Insufficient wheelchair training among rehabilitation professionals has been identified as an important factor that hinders access to appropriate wheelchair services. The aim of this study was to develop a toolkit to promote the integration of wheelchair education into academic curricula of rehabilitation programs. METHODS: A participatory action research design was carried out in three phases: (1) development of the Initial and Alpha Versions involving secondary analyses of surveys (n = 72), interviews (n = 14), and academic training partners meeting presentations (n = 16); (2) development of the Beta Version based on feedback from collaborators (n = 21); and (3) development of the Launch Version based on feedback from participants attending presentations of the Beta Version at conferences, symposiums, and webinars (n = 94). RESULTS: Over 100 individuals participated in reviews of the Seating and Mobility Academic Resource Toolkit (SMART). Initial development addressed modifiable factors that perpetuate insufficient wheelchair education in academic curricula (e.g., limited awareness, limited expertise). Internal feedback on the web-based Alpha Version resulted in modifications of appearance and multimedia, structure and design, and navigation. External feedback then led primarily to fine-tuning the navigation of SMART. Positive reviews were received from global wheelchair professionals (i.e., educators, researchers, clinicians). The Launch Version of the SMART (smart.wheelchairnetwork.org) provides a forum for sharing and accessing resources to inform the integration and enhancement of wheelchair content into university rehabilitation programs. CONCLUSIONS: As an open-source open-access online "living document," SMART has the potential to promote the integration of wheelchair service provision education into academic curricula of rehabilitation programs. Future studies will explore the ease of use and the effectiveness of the SMART.

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)0.055
metaresearch head score (Gemma)0.073
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.055
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.073
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0040.006
Open science0.0030.013
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.003

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 head0.124
GPT teacher head0.457
Teacher spread0.333 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations10
Published2020
Admission routes1
Has abstractyes

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