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Record W7098561277

Manufacturing Social Exclusion in the Home Care Market." Canadian Public Policy XXVII(2

2001· article· en· W7098561277 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSesquiterpenes and Asteraceae Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic policySocial exclusionPerspective (graphical)Social policyInclusion (mineral)PoliticsHealth careSocial Welfare
DOInot available

Abstract

fetched live from OpenAlex

Cet article examine comment la perspective des services de santé qui englobe les soins à domicile obscurcit l’ampleur des processus d’exclusion sociale qui se manifestent dans cette arène des politiques publiques. Une étude de femmes âgées et de femmes handicapées recevant des soins à domicile en Ontario révèle que les soins organisés dans la communauté génèrent et renforcent l’isolement social des usagers de ces services ainsi que leur exclusion spatiale, institutionnelle et politique. L’analyse des expériences des sujets partici-pant à cette étude met en évidence les défis à relever pour s’éloigner d’un discours de marché et d’une structure établie et pour développer une politique de soins à domicile qui parvienne à l’inclusion et à la participation des citoyens âgés et des handicapés ayant besoin d’une aide à domicile. This paper examines how the health care perspective which dominates home care obscures the broader processes of social exclusion that play out in this arena of public policy. A study of elderly women and women with disabilities receiving home care in Ontario reveals how managed community care generates and reinforces service users ’ social isolation and their spatial, institutional, and political exclusion. Analysis of study participants ’ experiences points to the challenges of moving away from a market discourse and a health framework to develop home care policy which achieves the inclusion and participation of elderly citizens and citizens with disabilities in need of assistance at home.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.269
Teacher spread0.252 · 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 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

Citations0
Published2001
Admission routes1
Has abstractyes

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