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Record W3106660028

Promoting healthcare decision making and the inherent dignity of patients: Presentation

2020· article· es· W3106660028 on OpenAlexaboutno aff
William F. Sullivan, John Heng

Bibliographic record

VenueMedicina y ética: Revista internacional de bioética, deontología y ética médica · 2020
Typearticle
Languagees
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsDignityBioethicsHealth careEthical decisionPresentation (obstetrics)Psychological interventionEngineering ethicsInformed consentPsychologyPublic relationsPolitical scienceSociologyNursingMedicineLawEngineeringAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

Catholic moral teaching affirms that the consent of patients is necessary to authorize healthcare interventions affecting them but does not specify conditions for obtaining consent or assessing decision-making capacity. This article reviews papers in this issue that authors have developed from presentations they made during a recent International Association of Catholic Bioethics (IACB) colloquium held in Quebec City, Canada. These papers contribute to advancing ethical thinking on decision-making capacity and consent. In various ways, they call for respecting the dignity of all patients by promoting their participating as much as possible in making healthcare decisions. These papers consider decision making to be relational and to encompass a range of capabilities. They examine the role of family members and other decision-making supporters in promoting the capabilities of patients whose mental health condition or disability renders them unable often to meet typical clinical and legal standards for decision-making capacity.

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)0.018
metaresearch head score (Gemma)0.036
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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.025
Scholarly communication0.0140.009
Open science0.0020.011
Research integrity0.0090.015
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 head0.052
GPT teacher head0.420
Teacher spread0.368 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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Same venueMedicina y ética: Revista internacional de bioética, deontología y ética médicaSame topicEthics in medical practiceFrench-language works237,207