Creating a rehabilitation living lab to optimize participation and inclusion for persons with physical disabilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We present an on-going multidisciplinary and multisectorial strategic development project put forth by the Centre for Interdisciplinary Research in Rehabilitation of greater Montréal (CRIR) in Quebec, Canada and its members, in collaboration with a Montréal “renovation-ready” shopping mall, local community organizations, and local, national and international research and industrial partners. Beginning in 2011, within the context of the Mall as Living Lab (MALL), more than 45 projects were initiated to: (1) identify the environmental, physical and social obstacles and facilitators to participation; (2) develop technology and interventions to optimize physical and cognitive function participation and inclusion; (3) implement and evaluate the impact of technology and interventions in vivo. Two years later and working within a participatory action research (PAR) approach, and the overarching WHO framework of the International Classification of Functioning, Disability and Health (ICF), we discuss challenges and future endeavors. Challenges include creating and maintaining partnerships, ensuring a PAR approach to engage multiple stakeholders (e.g. people with disabilities, rehabilitation and design researchers, health professionals, community members and shopping mall stakeholders) and assessing the overall impact of the living lab. Future endeavors, including the linking between research results and recommendations for renovations to the mall, are also presented.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it