Memory Support System in French: a Pilot Study
Bibliographic record
Abstract
Mild cognitive impairment (MCI) confers a higher risk of developing dementia. While largely preserved, instrumental activities of daily living (IADLs) may be affected to varying degrees by MCI. The Memory Support System (MSS) is a curriculum and calendar/note-taking system that has proven effective in sustaining independence in IADLs for individuals with MCI and in protecting mood among care partners. Until recently, the MSS has only been utilized among English- and Spanish-speaking samples. This study investigated the use of a translated and culturally adapted MSS in four French-speaking, community-dwelling participants with MCI and their support partners. Measures of treatment adherence, daily function, self-efficacy for memory, quality of life, mood, anxiety, and caregiver burden were assessed at baseline, treatment end, and eight-week follow-up. By treatment end and follow-up, participants with MCI showed improvement in adherence to the MSS calendar, IADLs, everyday abilities requiring memory and planning, self-efficacy, depression and anxiety symptoms, and quality of life. Care partners showed improvement in quality of life and depressive symptoms, while their caregiver burden and anxiety symptoms generally remained unchanged. Findings suggest that, with appropriate training, Francophones with MCI can and will use the MSS, and that MSS training may contribute to daily functioning and aspects of participant and care partner well-being.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".