Competency of Seniors with Dementia to Live Independently and Manage Finance: Synthesis of the Legislation in Quebec
Bibliographic record
Abstract
The socio demographic data report that the population will double in less than 30 years in Quebec (Curateur public du Quebec, 2010a). This situation is concerning due to increasing health problems associated with aging. The socio demographic reality brings an additional challenge for health and social professionals who have a key role in regard to the assessment of the ability of seniors to live independently and manage finances. The aim of this article is to summarize the Quebec’s legislation related to the competency assessment. The competency assessment is a complex process, which implies the consideration of various components: legal, ethical and clinical. No assessment tool is available in Quebec to support the health care professionals in the assessment process of competency of a person to live independently and manage finances. Considering these increasing problems, it appears imperative to consider the assessment process of competency to provide to the Quebec’s health care professionals valid assessment tools for an objective and rigorous assessment.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".