Experiences of Social Participation for Canadian Wheelchair Users with Spinal Cord Injury during the First Wave of the COVID-19 Pandemic
Bibliographic record
Abstract
The COVID-19 pandemic caused drastic life changes for people with spinal cord injury (SCI). The objective of the study is to explore the social participation of Canadian wheelchair users with SCI during the first wave of COVID-19. Methods: Fourteen participants from Quebec and British Columbia participated in a multi methods cross-sectional study. Three themes were identified, including (1) perceived participation restrictions for people with SCI and their loved ones, which revealed interruptions and changes in service provision during COVID-19, barriers and inconveniences to maintaining life habits and strategies developed during the pandemic to continue participating in meaningful activities; (2) There was no change in life habits (but some subjects found new ways to perform some activities), which highlights that life simply continued as usual and the participants developed new pastimes and interests; and (3) future hopes and concerns, which explained participants’ concerns about changes in interpersonal relationships after the pandemic. This study highlights daily participation challenges for people with SCI during the pandemic. Even though the use of technologies, delivery services and social support seemed to facilitate engagement in meaningful activities, mental health challenges and concerns for future relationships persisted for some.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".