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Record W3037436764 · doi:10.1055/s-0040-1712115

Assumptions about Decision-Making Capacity and Aphasia: Ethical Implications and Impact

2020· article· en· W3037436764 on OpenAlex
Aura Kagan, Elyse Shumway, Sheila MacDonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSeminars in Speech and Language · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsAphasiaCompetence (human resources)ObligationPsychologyCommunicative competenceProcess (computing)Engineering ethicsComputer scienceSocial psychologyCognitive psychologyPedagogyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This article explores the issue of aphasia and decision-making within the context of clinical ethics and patient rights. The cases described illustrate the danger of making assumptions about the inherent competence of people with aphasia and the life-altering consequences if no attempt is made to "accommodate" or support communication when competence may be masked by aphasia. Speech-language pathologists have a moral obligation and a key role to play in providing communication support that may serve to reveal a person's intact capacity to make specific decisions, as well as in supporting the steps involved in the decision-making process. This role also extends to providing guidance, education, and training for others involved in evaluating the decision-making capacity of people with aphasia. Communication support strategies useful at each stage of the decision-making process are detailed.

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.

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)0.003
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
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 head0.054
GPT teacher head0.478
Teacher spread0.424 · 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