50 A youthful approach to end-of-life care decision making and advance care planning
Bibliographic record
Abstract
Aim Presented by our Young Ambassadors, we aim to share how Dying With Dignity Victoria’s (DWDV) Young Ambassadors (YA) program is successfully engaging young people from diverse communities with lived experience to educate, inform, and inspire others to take action in relation to end-of-life education and planning. Background Community engagement in end-of-life matters has historically targeted older audiences, but it’s everyone’s business. Many young people are ill-equipped to navigate end-of-life matters for themselves and others, and traditional engagement with this group has had limited success. Main Text DWDV’s YA program began in late 2023 with 4 members in Victoria, Australia. We now have 23 YAs, growing by over 200% in the last 6 months. The program‘s mission is to cultivate a new generation of advocates informed about end-of-life preparedness and decision-making in their communities, focusing on compassion, empathy, and dignity. Through personal experience, career development, and advocacy opportunities, YAs gain the tools to navigate end-of-life advocacy with confidence and resilience. In the last year, the YAs have been busy! They’ve participated in multiple radio interviews and POD Casts, lead engagement with politicians on end-of-life related topics, scripted and launched a widely-watched YA video, created youth-focused end-of-life related fact sheets, represented DWDV at local and international conferences, and initiated multiple YA training courses like ‘Unlocking the Power of Advocacy,’ ‘Voluntary Assisted Dying Q&A,’ and ‘Media Training’, just to name a few. Unique Contribution By harnessing their zest, lived-experience, passion, unique insights and the power of technology (Linked-In, Facebook, Instagram, Podcasts and Zoom), these YA’s are able to transcend geographic boundaries (we have currently have YAs in Northern Territory, Queensland, New South Wales and Victoria in Australia, and internationally we have YAs in 5 countries – Australia, Canada, Ireland, Iceland, Netherlands), reach diverse audiences (we have LGBTIQ+, married, single and widowed YAs 20–44 yrs). The YAs affect and catalyze meaningful system changes through transforming their lived experiences and youthful insights into customised social media campaigns and the production of bespoke resources targeted at younger audiences. Implications Older individuals engage with end-of-life education for different reasons than younger people. Engaging youth requires solutions driven by young people. DWDV’s YA program offers a scalable model for young people’s involvement in end-of-life education and planning, adaptable to different jurisdictions and driven by a growing global network.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".