Estern township Alzheimer Society, 40 years of development and collaboration for the patient and cargivers
Bibliographic record
Abstract
The Alzheimer Society of the Eastern Townships began 40 years ago with 6 volunteers bringing together professionals and caregivers to provide information to the families of people with Alzheimer's disease in the Sherbrooke region. As a non-profit company, it was financed by donations from the public to pay for equipment and installation. It has gradually extended its services to the entire region covering more than 1100 square km and a population of 300,000 inhabitants. It now offers training to professionals and caregivers. Lectures by health professionals, lawyers and psychologists, monthly and open to the general public, cover the psychological, biological, social and legal components of Alzheimer's disease and related diseases. Day centres offer creative and enhancement activities in addition to music and pet therapy, no competent animators. In-home respite services by trained staff help with home care. Supervised peer meetings reach both people with dementia and caregivers. A monthly newsletter is published and a dynamic but easy-to-access website is updated weekly. She collaborates with the Quebec Federation of Alzheimer and Alzheimer Societies Canada. The annual budget of a few thousand dollars now exceeds $1.5 million, partly supported by government subsidies for services not available in the public system. A house for temporary stays will soon be in operation.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.011 |
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".