The Unspeakable Nature of Pediatric Palliative Care: Unveiling Many Cloaks
Bibliographic record
Abstract
In this article, the authors address the topic of pediatric palliative care and the unspeakable nature of the very practice of caring for children that are dying. This unspeakableness shows up in many ways around a silencing of the practice itself, a silencing of the topic of death within in the practice, and ultimately, a silencing of children and families who are faced with one of the most profound life events of loss imaginable. The authors speak to this unspeakable nature and offer family systems nursing practices and the illness beliefs model as one way to give language and voice to the suffering and strengths that inhabit this often-wordless terrain.
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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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.084 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.002 | 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".