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Record W4247335547 · doi:10.1002/erv.413.abs

Addressing complex ethical issues in the treatment of children and adolescents with eating disorders: application of a framework for ethical decision‐making

2001· article· en· W4247335547 on OpenAlexaff
Ronald S. Manley, Vicki Smye, Suja Srikameswaran

Bibliographic record

VenueEuropean Eating Disorders Review · 2001
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsSt. Paul's HospitalUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsEating disordersPsychologyPsychotherapistEthical decisionEthical issuesClinical psychologyEngineering ethicsSocial psychology

Abstract

fetched live from OpenAlex

Ethically problematic situations frequently arise in the care of children and adolescents with eating disorders. The younger person with anorexia nervosa can often deteriorate quickly, therefore the child who is in denial with respect to the seriousness of her condition and/or markedly ambivalent regarding renourishment is at grave risk. Involuntary treatment is likely to be a consideration during such a medical crisis. In this paper we outline an ethical decision-making framework that can assist the clinician in engaging the young patient and her family well in advance of a crisis, so that decisions can be made at a time when recourse to establishing incompetency or enforcing involuntary treatment are unnecessary. We have adopted a narrative approach in our application of the decision-making framework, and safety is emphasized as the central concept underlying the application of this model. Finally, a number of recommendations are made regarding application of the ethical decision-making framework with younger persons. Copyright © 2001 John Wiley & Sons, Ltd and Eating Disorders Association.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
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 head0.122
GPT teacher head0.483
Teacher spread0.362 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2001
Admission routes1
Has abstractyes

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