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Record W1969898611 · doi:10.1332/030557302760094694

Bringing difference into deliberation? Disabled people, survivors and local governance

2002· article· en· W1969898611 on OpenAlexaboutno aff
Marian Barnes

Bibliographic record

VenuePolicy & Politics · 2002
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsDeliberationArgument (complex analysis)AppealMental healthDemocracyDeliberative democracyCitizen journalismCorporate governanceSociologyPublic relationsPolitical sciencePsychologySocial psychologyLawPoliticsMedicinePsychotherapistBusiness

Abstract

fetched live from OpenAlex

English This article discusses the rules of the game in participatory democracy and the engagement of disabled people and mental health service users/survivors in the process. Drawing on theories of new social movements and of deliberative democracy, the article considers how notions of ‘legitimate participants’ are constructed within official discourse, and how those can be challenged by autonomous groups of disabled people. It also explores assumptions about appropriate forms of deliberation within participation forums and how an appeal to rational debate can exclude the emotional content of the experience of living with mental health problems from deliberation about mental health policy. The argument is illustrated by reference to research conducted by the author, and by a Canadian study of user/survivor involvement in policy making.

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)0.007
metaresearch head score (Gemma)0.010
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 score0.022
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.046
Scholarly communication0.0110.010
Open science0.0010.008
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.117
GPT teacher head0.399
Teacher spread0.282 · 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

Citations50
Published2002
Admission routes1
Has abstractyes

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