Future Echoes in Pediatric Palliative Care: Becoming Sensitive to Language
Bibliographic record
Abstract
As the specialty of pediatric palliative care emerges and develops, finding language to describe the complexity of "living while dying" is a challenge. Terms such as "life-limiting" and "life-threatening" are commonly used, but may not be sensitive enough to capture the experience of children and their families due to the restrictions and power at play in the history of the words "limit" and "threat". The search for the right words to use when speaking of children who are living while dying takes us to the language of metaphor and poetry that speaks to us in a different way, a way that encompasses not only the suffering, but also the dreams, hopes, and joys of children and families. Our preferred use of language also provides more than factual statements ever can, by speaking to the hearts and souls of health care providers who share precious moments with these families.
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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 | 0.017 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.009 | 0.015 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".