Passion, persistence and pennies
Bibliographic record
Abstract
This interactive session will highlight the work of Fraser Healthy Authority (FHA) in British Columbia, Canada over the past 7 years to champion the development, implementation, and dissemination of its Advance Care Planning work for 1.5 million people throughout our system of care – 12 acute cares sites, 7500+ residential/long term care beds, and community programs. The FHA Let's Talk program, with a passionate commitment to system level change and education, has developed user-friendly, culturally sensitive and easily accessible tools and resources which have been adapted by health and community organizations across Canada, USA and New Zealand for use in their jurisdictions. Our vision has led to a provincial Community of Practice with representatives from government, all BC regional health authorities, disease specific agencies, first responders, as well as the Canadian Hospice Palliative Care Association (CHPCA) ACP Project Task Group to continuously share resources and experiences. We have also been able to influence policy and uptake at a provincial level with a recent decision to adapt the My Voice Workbook and to place FHA's Let's Talk DVD in all community libraries. Advocacy has resulted in new Advance Directive legislation which broadens options for documentation and choice at end of life. In partnership with Calgary Health Region, Health Canada and the CHPCA, we have been an important leader to support a National Symposium, Consensus and framework documents, and other initiatives that have promoted a Canadian approach to ACP implementation and a national framework and research agenda.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".