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Record W1979158619 · doi:10.1353/cja.2005.0074

Comparison of Provincial and Territorial Legislation Governing Substitute Consent for Research

2005· article· en· W1979158619 on OpenAlexaffabout
Gina Bravo, Michaël Gagnon, Sheila Wildeman, David T. Marshall, Mariane Pâquet, Marie‐France Dubois

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsOttawa Heart InstituteDalhousie UniversityHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
Fundersnot available
KeywordsLegislationCLARITYStatutory lawDirectiveOrder (exchange)Consistency (knowledge bases)Government (linguistics)LawPolitical scienceUnderpinningJudicial opinionDiscretionDecision makerPublic administrationLaw and economicsBusinessSociologyEconomicsEngineeringManagement science

Abstract

fetched live from OpenAlex

In Canada, provincial and territorial laws address circumstances in which a substitute decision-maker may be appointed for an adult deemed legally incapable of making decisions in one or more areas of life. We searched for provincial and territorial laws that explicitly address substitute decision-making about research participation, and found significant differences among Canadian jurisdictions. In some provinces and territories there is no direct statutory guidance on the issue. Differences among jurisdictions that address substitute decision-making about research in legislation include whether judicial intervention is required to authorize the substitute decision-maker, whether any advance directive in place must explicitly authorize the decision about research in order for a proxy to consent, and how risk and benefit thresholds beyond which substitute consent to research is prohibited are articulated. It is imperative that government, researchers, and the Canadian public revisit the principles underpinning substitute decision-making about research in light of national and international norms, in order to lend clarity and consistency to this area of law and research practice.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.069
GPT teacher head0.356
Teacher spread0.287 · 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.

Study designNot applicable
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

Citations14
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicElder Abuse and NeglectFrench-language works237,207