Speak Up - A National Advance Care Planning Campaign in Canada
Bibliographic record
Abstract
The Canadian Hospice Palliative Care Association has established a Canadian National Advance Care Planning (ACP) Day/Campaign – Speak Up: Start the Conversation about End-of-Life Care. This campaign, which includes a national day to recognize ACP, provides an annual opportunity for individuals to discuss their wishes with family, friends and health care professionals while raising overall awareness of the importance of ACP throughout the year. The ACP day/campaign engages professionals and the public alike through partnerships, organizational events and media events. The premier day was launched on 12 April, 2011. The campaign has been launched in partnership with 16 partners, including professional associations (medicine, nursing and law); research organizations and academics; regional health authorities; health-focused non-governmental organizations; and communications experts. It was based on 2 years of work including the development of ACP in Canada: A National Framework through broad consultation with over 100 stakeholders across the country. This workshop will highlight the accomplishments of Speak Up. It will demonstrate the ways that organizations and individuals across a country are able to promote ACP in their communities. The workshop will demonstrate and describe the various resources and tools used in the campaign, and discuss the communications strategies for promoting ACP awareness. Workshop presenters will showcase toolkits for professionals and the public, a dynamic website; and poster and other promotional templates, as well as communication strategies and background resources. Participants will explore how they, their organizations and their communities could develop and become engaged in similar campaigns.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".