Weather, disability, vulnerability, and resilience: exploring how youth with physical disabilities experience winter
Bibliographic record
Abstract
Purpose: Having a mobility-related disability can create numerous challenges in navigating the physical and built environment, especially during winter. Such weather-related challenges can be a significant barrier to participation in everyday activities and are linked with increased physical and psychological morbidities. Unfortunately, mobility research – especially among youth – has often overlooked the effects of winter weather. Methods: This study explores the experiences of daily activities during Canadian winter among a purposive sample of youth, aged 15–22, who have a physical disability requiring the use of a mobility device. The researchers applied a qualitative design, including 12 in-depth interviews. Results: Our findings show that youth encounter several vulnerabilities to participating in social and recreational activities in winter, including: (1) physical barriers and social spatial exclusion; (2) health and safety concerns; and (3) psychosocial issues (i.e. worry, isolation and dependence). Youth also discussed several strategies for adapting to barriers and enhancing their participation during winter, including: (1) wheelchair maintenance; (2) awareness of surroundings; (3) practice using mobility devices and planning; and (4) keeping busy and active. Conclusions: Youth who use a mobility device are vulnerable to health and safety risks and isolation during the winter, but they also display signs of resilience. Implications for RehabilitationClinicians should ensure that youth who are new to using their mobility device are properly trained in how to use it.Service providers should offer a winter survival guide to youth who use a mobility device.Clinicians should be taught to recognize signs of loneliness, isolation and depression, and provide a list of local resources and activities during the winter.Rehabilitation engineers should focus their efforts on adapting mobility devices to enhance the safety of youth.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".