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Record W4323361350 · doi:10.1017/s0008423922001068

Canadian Public Policy: The State of the Discipline

2023· article· en· W4323361350 on OpenAlexaffabout
Grace Skogstad

Bibliographic record

VenueCanadian Journal of Political Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPublic policyPolicy studiesState (computer science)Political sciencePolicy analysisDistributive propertyPublic economicsPositive economicsPublic administrationSociologyEconomics

Abstract

fetched live from OpenAlex

Abstract This article examines the state of the English-language peer-reviewed literature published over the 2011–2021 period whose objective is to describe and explain processes of development of Canadian public policies and their consequences. It first presents a profile of the surveyed literature's attention to different policy sectors, elements of public policy, and its chosen methodologies to study them. It then examines the empirical and theoretical contributions of the literature to uncovering the constitutive actors and their interactions in policy processes in policy domains of Canadian jurisdictions; the logics of chosen policy instruments and their distributive effects; and the interactions among Canada's structural, institutional and ideational features and policy actors’ motivations and behaviour with processes of policy innovation, continuity and change. A foremost contribution of Canadian policy studies to comparative policy studies is to demonstrate the causal impacts of the interaction of institutional, structural and ideational/cultural factors on processes of policy development.

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)0.016
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.792
Threshold uncertainty score0.918

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0160.033
Science and technology studies0.0130.014
Scholarly communication0.0240.006
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.029
GPT teacher head0.314
Teacher spread0.286 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations1
Published2023
Admission routes2
Has abstractyes

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