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Record W2055813493 · doi:10.1177/1471301203002001994

Opinions Regarding Who Should Consent to Research on Behalf of an Older Adult Suffering from Dementia

2003· article· en· W2055813493 on OpenAlexafffund
Gina Bravo, Mariane Pâquet, Marie‐France Dubois

Bibliographic record

VenueDementia · 2003
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsUniversité de SherbrookeHealth and Social Services Centre University Institute of Geriatrics of Sherbrooke
FundersAlzheimer Society
KeywordsDementiaGuardianLegal guardianInformed consentPsychologyGerontologyMedicinePsychiatryClinical psychologyAlternative medicineLawDiseasePolitical science

Abstract

fetched live from OpenAlex

In many jurisdictions, consent to research on a decisionally incompetent adult can be provided only by the legal guardian. Yet, few cognitively impaired older adults are legally represented. This article reports on a postal survey eliciting the opinions of concerned individuals regarding who should decide whether an incompetent older adult will participate in research. Four groups of people were targeted by the survey: older adults, informal caregivers of cognitively impaired patients, researchers in ageing, and members of institutional review boards. Opinions were similar across the four groups and varied with the degree of risk involved in the study. In the absence of risk, most respondents did not think that the surrogate decision-maker must be legally appointed. As the amount of risk increased, the proportion of respondents who believed consent could be provided by a significant other without legal authority decreased, while that against soliciting cognitively impaired patients tended to increase.

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)0.044
metaresearch head score (Gemma)0.109
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.109
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.636
GPT teacher head0.610
Teacher spread0.026 · 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.

Study designQualitative
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

Citations28
Published2003
Admission routes2
Has abstractyes

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