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Record W2938678771 · doi:10.12927/hcpol.2019.25794

A Fresh Approach to Reform? A Policy Analysis of the Development and Implementation of Ontario’s Mental Health and Addictions Strategy

2019· article· en· W2938678771 on OpenAlex
Heather L. Bullock, Julia Abelson

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsImpact
Fundersnot available
KeywordsMental healthAddictionPsychologyPolicy developmentPsychiatryPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

Background: Open Minds, Healthy Minds, Ontario's Comprehensive Mental Health and Addictions Strategy commits to the transformation of mental health and addictions services for all Ontarians. Objective: We analyzed the formulation and implementation of this Strategy to address the question: What are the prospects for transformative change in Ontario's current approach to mental health and addictions? Methods: Qualitative policy analysis using interpretive description of key documents of the policy process, drawing on policy network and horizontal governance theory. Results: Three features set this policy process apart from previous reform efforts: (1) expansion of the state pluralist network to those outside of health, (2) extension of the policy network approach into the Strategy's implementation stage and (3) the combined presence of political and policy leadership. Conclusions: There is reason for optimism that the approach of the Strategy has increased the prospects for the transformation of Ontario's mental health and addictions system.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.044
GPT teacher head0.401
Teacher spread0.357 · 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