"[My life] would not have been the same without them": The role of peer mentorship among adults with a physical disability
Bibliographic record
Abstract
Approximately 14% of Canadians have a physical disability. These individuals typically report lower levels of "participation", which refers to the engagement in daily (e.g., self-care, mobility) and social (e.g., sport/exercise, hobbies) activities. With the goal of enhancing participation, peer mentorship programs for individuals with physical disabilities have been implemented across Canada. Peer mentors are individuals who, through their experiences living with a disability, can provide empathetic understanding, practical advice, and emotional support to peers with a physical disability. The purpose of this symposium is to present four approaches to understanding peer mentorship among adults with physical disabilities. First, Dr. Best will discuss the impact of a peer-led wheelchair program on wheelchair users' self-efficacy, their wheelchair skills and its impact on broader outcomes. Second, Dr. Gainforth will present her research program that focuses on understanding the specific methods/tools spinal cord injury (SCI) peer mentors use to enhance participation. Third, Dr. Sweet will discuss findings from qualitative and quantitative research that investigated SCI peer mentorship through the lens of self-determination theory. Fourth, Dr. Caron will take a different look at SCI peer mentorship by presenting the perspectives of peer mentors regarding their roles and perceived impact. To conclude the symposium, Haley Flaro of Ability New Brunswick, a community organization that represents individuals with disabilities, will provide her community perspective on these projects. She will discuss the gaps that need to be addressed to inform community organizations' efforts to enhance the lives of people with disabilities through peer mentorship.Acknowledgments: The projects and members of the sumposium were funded by the Social Sciences and Humanities Research Council of Canada, Fonds de Recherche du Québec Santé and the Craig H. Neilsen foundation
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| 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".