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Record W2057423916 · doi:10.1080/09687590802535360

‘The AISH review is a big joke’: contradictions of policy participation and consultation in a neo‐liberal context

2009· review· en· W2057423916 on OpenAlex
Claudia Malacrida, Stefanie Duguay

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDisability & Society · 2009
Typereview
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsGovernment of CanadaUniversity of Lethbridge
Fundersnot available
KeywordsAgency (philosophy)AutonomyTransparency (behavior)Context (archaeology)Public administrationPolitical scienceGovernment (linguistics)Independence (probability theory)Face (sociological concept)Public relationsCitizen journalismSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

Responsive and appropriate disability policy is ideally developed through the participation of individuals with disabilities. Using a case study methodology, we have examined the policy review process for a disability income programme in Alberta, Canada. We examined questions of participation and consultation and compared individual and agency involvement. Participation was characterized by sustained interactions with government, face‐to‐face collaboration and transparency. Consultation involved short‐term interactions by invitation only, limited input and was more typical in policy construction. In this study individual involvement was more likely to be consultative, while agency involvement was more participatory. In terms of policy outcomes, neither model was more effective. Instead, the government adhered to its original intent, responding in terms of neo‐liberal ideals of independence and autonomy.

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.

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)0.002
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.095
GPT teacher head0.453
Teacher spread0.358 · 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