Abstracts from the 2022 Annual Scientific Meeting of the Canadian Academy of Geriatric Psychiatry and Canadian Coalition for Seniors’ Mental Healths
Bibliographic record
Abstract
Background: The Canadian Coalition for Seniors Mental Health (CCSMH) was established in 2002 following a large national meeting that focused primarily on how to improve mental health in long-term care homes.There was a consensus that a Canadian Coalition of relevant stakeholders that focused on all aspects of the mental health of older adults could make a difference through education, research and advocacy.Methods: A Steering Committee was formed, made up of representatives from 12 national organizations, including professional associations and groups representing older adults.The Coalition developed as a project of CAGP although it quickly created a separate identity as an interprofessional organization. Results:The Coalition has been successful at obtaining grants from a number of funding agencies including Health Canada, the Public Health Agency of Canada (PHAC), CIHR, the Mental Health Commission of Canada, RBC Foundation, the Canadian Standards Association, the Centre for Aging and Brain Health Innovation and others.The Coalition has approximately 3,000 affiliate members.The Coalition's most significant projects and activities will be briefly outlined including the development of multiple National Clinical Guidelines and the creation of knowledge translation products.The ingredients for developing a successful coalition will be described along with the challenges of sustainability and having limited base funding.Conclusions: We will engage the participants in a discussion about the future of the Coalition with the hope of identifying individuals who would like to contribute.Much work lies ahead.After the first 20 successful years the future beckons!
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.095 | 0.024 |
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".