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Record W7005696071

The Right to Support: Severely Disabled Children & Their Mothers

2019· article· en· W7005696071 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationArgument (complex analysis)TortState (computer science)WelfareFocus (optics)Feminist theoryBest interests
DOInot available

Abstract

fetched live from OpenAlex

The author examines how severely disabled children and their mothers, who are usually their primary caregivers, are treated by Canadian law and policy. She identifies and analyzes deficiencies in care and other supports the state makes available to them. She further provides an analysis of the role of the state as it increasingly privatizes responsibility for supports, including unpredictable and often complex forms of care, situating them in practice, with mothers. Caregiving mothers are required to provide what comprises maternally complex care, which may be medical, neurological or psychiatric in nature. Within complex care, visible and hidden costs have been off loaded onto caregiving mothers by government. Using conceptual frameworks from feminist standpoint theory and drawing on Paolo Freires theory of critical consciousness, the author analyzes legal cases, legislation and policies, as being founded upon a series of powerful myths. She assesses the paradigms that underlie current legal arrangements, in particular, the roles assigned to mothers of children with severe disabilities. Her analysis engages with administrative, tort and constitutional law, and includes a focus on the steps taken by the province of Ontario to end the voluntary care provision to mothers with disabled children through its child welfare jurisdiction. She shows where such practice may not comply with legal requirements in each of the areas of law she examines, building an argument that Ontario may not refuse such care to mothers. Legal reforms and other approaches that could enable severely disabled children and their mothers to achieve more just outcomes are presented as a series of recommendations.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0140.012
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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