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Record W4378803039 · doi:10.51952/9781529224474.ch007

Indigenous Peoples with Disabilities and Canadian Mental Capacity Law

2023· book-chapter· en· W4378803039 on OpenAlexaboutno aff
Ruby Dhand

Bibliographic record

VenueBristol University Press eBooks · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousMental capacityPolitical scienceCriminologySociologyLawPsychologyPsychiatryEcology

Abstract

fetched live from OpenAlex

Indigenous peoples with disabilities are extremely vulnerable when interacting with Canadian mental capacity law. They are disproportionately at risk of experiencing barriers to accessing justice, undermining their cultural values and Charter-protected rights of autonomy, medical self-determination and equality. There is a dearth of research addressing the values underlying supported decision-making and substitute decision-making for Indigenous communities in Canada. This chapter analyses the legal framing of mental capacity in Canada and the values and principles that are relevant for Indigenous peoples in Canada. I highlight the significant perspectives of Indigenous peoples in the framing of capacity and the types of intersectional barriers they experience accessing equitable decision-making processes in capacity law. The analysis reveals how Indigenous peoples with disabilities are isolated and denied autonomy. Their participation is curtailed as a result of lack of access to culturally appropriate treatment and systemic discrimination.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.016
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.021
GPT teacher head0.188
Teacher spread0.167 · 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 designTheoretical or conceptual
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

Citations0
Published2023
Admission routes1
Has abstractyes

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