Paediatric end-of-life care and cardiopulmonary resuscitation
Bibliographic record
Abstract
Abstract Every paediatrician’s career includes the provision of care for children with life-limiting conditions. The College of Physicians and Surgeons of Ontario published a revised policy, “Decision-making for End-of-Life Care,” in March 2023; in this commentary we explore the ramifications of this policy for community and acute care paediatricians in Ontario and highlight principles to contextualize this beyond provincial borders. In particular we discuss its impact upon clinicians’ moral distress and the importance of: i) early and longitudinal engagement with patients and families, where possible, to contextualize the role of resuscitative measures (if any) in addition to the many other important considerations concerning high quality end-of-life care; and ii) preventing bias and calibrating decision-making with clinical colleagues (including Bioethics) to ensure CPR is never withheld because of a child’s protected characteristics such as their race, age, or disability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".