The COVID-19 Pandemic Related Lived Experiences of Individuals With a Spinal Cord Injury/Disease
Bibliographic record
Abstract
Introduction COVID-19 related restrictions and recommendations have impacted everyone. Those living with a disability, such as individuals with a spinal cord injury (SCI), may have had pandemic related changes made yet more challenging by societal failures to accommodate their mobility, physical abilities, and health care needs. To better understand participants experiences we drew upon Heidegger's phenomenology and the mobilities paradigm. The objective of this study was to explore COVID-19 pandemic related lived-experiences of individuals with an SCI. Materials and Methods This study used an interpretive phenomenological methodology. Semi-structured interviews were the primary means of data collection. These were conducting in May and June of 2020, roughly 2–3 months into the pandemic. Transcript data were analyzed using a phenomenological methodology. Results We interviewed 22 participants with SCI, the mean age was 54 years, and nine were females. We identified three themes: (1) Experiencing changes to mobility and daily life described how new rules had impacted everyday life and usual routines, particularly in regard to mobility. (2) Struggling with new challenges explored some of the negative experiences of the pandemic. (3) Being resilient in the face of a new normal conveyed the resilience participants exhibited despite challenges. Conclusion Although our findings indicate some positive changes and highlight the strengths that many individuals with SCI have, they also accentuate issues with ableism within the medical system. Certain changes were made primarily because people without disabilities needed them, and several COVID-19 changes were made without consulting individuals with disabilities. With physical movement restricted, our findings emphasize the importance of the movement of information and a need for increased dialogue with people in the SCI community about their ongoing pandemic related needs.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.009 |
| 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".