Counselling of people with dementia in legal matters – social and health care professionals’ role
Bibliographic record
Abstract
This article examines the counselling of people with dementia in legal matters by focusing on the experiences both of people with dementia and of social and health care professionals. The article also assesses the role of social and health care professionals in enabling the fulfilment of the legal security of people with dementia. In Finland, social and health care professionals have a responsibility to inform their clients of their social and legal security options, and therefore need to know the range of legal tools and options available. They also need to know what measures may be taken to support the remaining legal capacity and autonomy of the person with dementia and to facilitate choices and planning for the future. This article reports the findings of three separate studies carried out in Finland. By examining the results of these studies, the necessity of offering sufficient counselling and support can be addressed. Developing counselling involves changed attitudes and improved competence for the professionals involved in social and health care, as well as changes in operational practices. People with dementia constitute a large client group whose legal security should be developed in a comprehensive and nuanced way.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".