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Record W2169201579 · doi:10.1136/jme.2007.023051

Physicians as healthcare surrogate for terminally ill children

2008· article· en· W2169201579 on OpenAlexaboutno aff
Pedro Weisleder

Bibliographic record

VenueJournal of Medical Ethics · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsTerminally illAmbivalenceGriefFeelingDilemmaAnxietyAltruism (biology)PsychologyHealth careMoral dilemmaPalliative careMedicineNursingSocial psychologyLawPsychotherapistPsychiatryPolitical science

Abstract

fetched live from OpenAlex

The parents of some terminally ill children have reported that being asked to authorise removal of life-sustaining measures is akin to being requested to sign a "death warrant". This dilemma leaves families not only enduring the grief of losing a loved one, but also with feelings of ambivalence, anxiety and guilt. A straightforward method by which the parents of terminally ill children can entrust the role of healthcare surrogate to the treating physician is presented. The cornerstone of this paradigm is parental awareness that the physician will act in the child's best interest, even if that means discontinuing life-sustaining measures. The goal is to mitigate parental guilt and fear of misperception, by self and others, of having given up on their child. From a moral standpoint this concept is an appealing option as it conforms to the four basic principles of medical ethics. While laws in the USA and several European nations prevent members of the medical team from taking on the responsibilities of healthcare surrogate for terminally ill patients, formal and informal precedence for this option already exists in France, The Netherlands, Norway, Sweden, Switzerland, and the Canadian province of Manitoba.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.008
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.442
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2008
Admission routes1
Has abstractyes

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