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Public Opinion and Public Policy

2010· book-chapter· en· W1498624896 on OpenAlexaffabout
Stuart Soroka, Christopher Wlezien

Bibliographic record

VenueOxford University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsMcGill University
Fundersnot available
KeywordsPublic policyRepresentation (politics)Public opinionPolicy studiesPoliticsGovernment (linguistics)Political sciencePublic administrationDemocracyFunction (biology)Public economicsMechanism (biology)Public relationsEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract The key function of representative democracy is to provide a mechanism through which public opinion and public policy are regularly connected. On one hand, there should be policy representation; public preferences for policy should be reflected in policy itself. And on the other hand, there should be public responsiveness; public preferences should be informed and should react to public policy. Policy representation is important in everyday politics. Failure of adequate policy representation may result on disaffection of the public for the government. This article discusses the evidence of representation of public preferences in the Canadian federal policy. It discusses the substance of the preferences and determines whether these preferences adjust to the policy itself. The article also discusses thermostatic public responsiveness, whereby public preferences for policy change reflect changes in policy.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.009
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0160.002

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 head0.099
GPT teacher head0.294
Teacher spread0.195 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations519
Published2010
Admission routes2
Has abstractyes

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