Struggling to do what is right for the child
Bibliographic record
Abstract
This study examined (a) how physicians and nurses in France and Quebec make decisions about life-sustaining therapies (LSTs) for critically ill children and (b) corresponding ethical challenges. A focus groups design was used. A total of 21 physicians and 24 nurses participated (plus 9 physicians and 13 nurses from a prior secondary analysis). Principal differences related to roles: French participants regarded physicians as responsible for LST decisions, whereas Quebec participants recognized parents as formal decision-makers. Physicians stated they welcomed nurses' input but found they often did not participate, while nurses said they wanted to contribute but felt excluded. The LST limitations were based on conditions resulting in long-term consequences, irreversibility, continued deterioration, inability to engage in relationships and loss of autonomy. Ethical challenges related to: the fear of making errors in the face of uncertainty; struggling with patient/family consequences of one's actions; questioning the parental role and dealing with relational difficulties between physicians and nurses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".