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The governance of children with disabilities and their families: Charting the public‐sector regime in Canada

2002· article· en· W2073212578 on OpenAlexaboutno aff
Michael J. Prince

Bibliographic record

VenueCanadian Public Administration · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAccountabilityCorporate governancePublic sectorBureaucracyPolitical scienceGovernment (linguistics)Public administrationScope (computer science)Service delivery frameworkPacePublic relationsBusinessService (business)PoliticsGeography

Abstract

fetched live from OpenAlex

Abstract: This article discusses governance and accountability structures that relate to the contemporary agenda of inclusion for children with disabilities in Canada. Who are the major public‐sector actors in policies for children with disabilities and their families? What governance roles does the sector perform? What are the defining trends that characterize the sector in the present age? The scope of the analysis is a broad scan of structures and roles rather than a detailed inventory of programs. Three clusters of governing activities are addressed: policy planning, consultation and coordination; creating structures, allocating resources and delivering services; and accountability roles and processes. Each of the clusters is examined in relation to public‐sector organizations general to government and to organizations specific to child and family and to disability issues. The education, health‐care and social‐service sectors are profiled to identify important trends and issues in the governance of Canadian disability policy. A concern of the public sector's governance regime for children with disabilities and their families is the absence of clear, consistent and central accountability mechanisms. There is a déjà vu discourse on disability reform, a strong sense that we have been here before. Among other factors, this frustrating pace of reform is due to bureaucratic factors and weak accountability mechanisms. To overcome this déjà vu, the author calls for the adoption of a more inclusive and integrated governance regime for the disability policy domain. Sommaire: Le prdéjàsent article porte sur les structures de gouvernance et de reddition de comptes concernant le programme aduel d'inclusion des enfants handicapés au Canada. Qui sont les principaux acteurs du secteur public responsables des politiques pour les enfants handicapés et leurs familles ? Quels rôles de gouvemance estce que le secteur joue? Quelles sont les tendances spécifiques qui caractérisent ce secteur à I'heure actuelle? L'analyse porte sur un vaste ensemble de structures et de rôles, plutôt que sur un inventaire détaillé de programmes. Trois groupes d'activités gouvernementales sont étudiés:la planification, la consultation et la coordination de politiques; la création de structures, l'affectation de ressources et la prestation de services; et les rôles et processus de la responsabilisation. Chacun de ces groupes est examiné par rapport aux organismes du secteur public dépendant du gouvemement et aux organismes relatifs à l'enfance et à la famille et aux questions d'invalidité. Les secteurs de l'éducation, des soins de santé et des services sociaux sont présentés pour identifier les tendances et questions importantes dans la gouvemance de la politique canadienne sur l'invalidité. Une précupation du régime de gouvernance du secteur public concemant les enfants handicapés et leurs familles est I'absence de mécanismes centraux de responsabilisation qui soient clairs, consistants et centralisés. Ce discours sur la réforme de l'invalidité a déjàété tenu. La lenteur frustrante de cette réforme est attribuable entre autres à des facteurs bureaucratiques et à de faibles mécanismes de reddition de comptes. Pour aller au‐dellà de ce déjà vu, I'auteur sumère l'adoption d'un régime de gouvemance plus inclusif et plus intégré pour le domaine des politiques en matière d'invalidité.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.046
GPT teacher head0.255
Teacher spread0.209 · 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.

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

Citations8
Published2002
Admission routes1
Has abstractyes

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