Up against the System: A Case Study of Young Adult Perspectives Transitioning from Pediatric Palliative Care
Bibliographic record
Abstract
Advances in pediatric care have not provided the interdisciplinary support services required by those young adults with pediatric life-threatening conditions (pedLTCs) who live beyond childhood but have limited expectations to live past early adulthood. These young adults, the first generation to live into adulthood, face multiple challenges transitioning from a plethora of pediatric palliative services to scant adult health services. In a case study, using an innovative bulletin board focus group, we describe the complex interplay of the health, education, and social service sectors in this transition. Our descriptions include system deficits and strengths and the young adults' resilience and coping strategies to overcome those deficits and move forward with their lives. Young adults with pedLTC need knowledgeable providers, coordinated and accessible services, being respected and valued, and services and supports that promote independence. We recommend implementation of multidisciplinary solutions that are focused on young adult priorities to ensure seamless access to resources to support these young adults' health, educational, vocational, and social goals. The input and voice of young adults in the development of these services are imperative to ensure that multisystem services support their needs and life goals.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".