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Record W4319294854 · doi:10.1080/09638288.2023.2171495

Understanding the experiences, needs, and strengths of people with incomplete spinal cord injury who can ambulate

2023· article· en· W4319294854 on OpenAlexafffund
Murveena Jeawon, Bethany Hase, Susanna Miller, Janice J. Eng, Andrea Bundon, Habib Chaudhury, Jocelyn Maffin, Ryan Clarkson, Jenna Wright, W. Ben Mortenson

Bibliographic record

VenueDisability and Rehabilitation · 2023
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSimon Fraser UniversityInternational Collaboration On Repair DiscoveriesGF Strong Rehabilitation CentreSpinal Cord Injury BCUniversity of British Columbia
FundersInternational Collaboration on Repair Discoveries
KeywordsSpinal cord injuryMedicineRehabilitationPhysical therapyAmbulatoryQualitative researchPhysical medicine and rehabilitationPsychologySpinal cordPsychiatrySurgery

Abstract

fetched live from OpenAlex

PURPOSE: To identify the experiences, needs, and strengths of people with incomplete spinal cord injury who can ambulate and to explore and discuss potential supports, services, and programs that would best assist them in the community. MATERIAL AND METHODS: In this qualitative descriptive study, interviews were the primary means of data collection. These were supplemented with descriptive standardized measures of function and life satisfaction. Qualitative data were analyzed thematically. RESULTS: Twenty-four participants were interviewed, their average age was 55 years and 46% were female. We identified three themes: 'I really couldn't go there', described the physical and social barriers experienced by participants, 'It'd be really nice to let the public know there are people out there like me' expressed the desire for greater social understanding of incomplete spinal cord injury, and 'I just don't quit', displayed the perseverance that participants demonstrated following their injury. CONCLUSION: Findings indicate service providers to improve the inclusion of ambulatory individuals with incomplete spinal cord injury in their programs. Suggestions include designing programs (community, healthcare, return to work, peer support), environments using the principles of universal design for people with incomplete spinal cord injury who ambulate, and increasing consideration of their perspectives.Implication for rehabilitation:People with incomplete spinal cord injury who can ambulate live with invisible impairments, which are often not acknowledged by family, friends, health professionals, and people with complete spinal cord injuryThey may feel excluded from activities (organized by spinal cord injury associations) that were originally designed for people with complete spinal cord injuryGreater awareness among health professionals, friends, family, and people with complete spinal cord injury of the needs of people with incomplete spinal cord injury who can ambulate is needed to increase their inclusion.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0040.005
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.371
Teacher spread0.306 · 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 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

Citations4
Published2023
Admission routes2
Has abstractyes

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