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Record W1993462816 · doi:10.1515/ijamh.2010.22.4.453

Ethical considerations in transition

2010· article· en· W1993462816 on OpenAlexaff
Hannah Kaufman, Laurie Horricks, Miriam Kaufman

Bibliographic record

VenueInternational Journal of Adolescent Medicine and Health · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsBeneficenceAutonomyDignityDutyAdult careNursingTransition (genetics)Health careMedicinePsychologyPolitical scienceYoung adultGerontologyLaw

Abstract

fetched live from OpenAlex

The objective of this paper is to explore ethical issues in the provision of transitional care. Using five case studies a number of ethical issues in transition and transition care are discussed. These issues include: 1) preserving, promoting and ensuring dignity and respect for patients; 2) fostering and supporting the trusting relationships that young people and their parents have for pediatric providers to their new adult providers by using a graduated system of transfer; 3) recognizing graduated capacity; 4) promoting autonomy and self-management; 5) duties of beneficence and non-maleficence; 6) truthtelling; 7) duty to provide developmentally appropriate care; and 8) duty of pediatric providers to advocate for transitioning patients in the adult system. Attention to the ethical issues surrounding these complex cases has the potential to positively influence a successful transition to adult-oriented health care.

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 imitation

Not 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.

metaresearch head score (Codex)0.060
metaresearch head score (Gemma)0.115
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.060
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.115
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0150.047
Scholarly communication0.0110.008
Open science0.0020.011
Research integrity0.0160.019
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.155
GPT teacher head0.527
Teacher spread0.372 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations12
Published2010
Admission routes1
Has abstractyes

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