A Living Lab in the Quebec’s Homes for older adults with a neurocognitive disorder: aiming to improve the personalization of long‐term care and the self‐determination of residents and their relatives
Bibliographic record
Abstract
Abstract Background The “ Quebec’s Homes for Older Adults with a Neurocognitive Disorder ” (QHOA) model aims to improve the quality of residential and long‐term care environments for people losing their autonomy. Considering the major paradigm shift behind the QHOA philosophy, it seemed timely to co‐construct a Living Lab‐type structural organisation whose main mission will be to contribute to the sustainability of the new model. Objectives Since 2021, we have been co‐constructing links between scientists, decision‐makers, staff (carers, cooks, housekeepers, etc.), QHOA stakeholders and, above all, the community and its seniors. Our structure is a Living Lab and the main objective is to cyclically and participatively co‐construct a set of solutions applicable to QHOAs. Our work will encourage the design and development of sustainable solutions by considering human (e.g., self‐determination, personalization of care), environmental (e.g., layout and design, camouflage strategies), technological (e.g., sensors, cameras, connected watches and scales, artificial intelligence, software for care and medication), work organization, and continuous training of stakeholders. Results The co‐construction process involved more than 40 researchers, clinicians, decision‐makers, or stakeholders. We have all been able to delineate the structure of the Living Lab and how knowledge will be disseminated, rallied, and promoted. This presentation will resume the main steps (including successes and challenges) of our work. Implications A Living Lab is a place for collaboration, exchange, and co‐creation. The actors in the field have the most relevant knowledge of the living context in which the projects will be deployed. Our intersectoral team (20 fields of expertise) will provide the scientific knowledge to ensure the sustainability and ongoing development of the QHOA model.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".