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Record W4248337248 · doi:10.3138/9781442685529-fm

Frontmatter

2007· book-chapter· en· W4248337248 on OpenAlexfundaboutno aff
Laurent Dobuzinskis, David Laycock

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
FundersUniversity of TorontoCanada Council for the ArtsOntario Arts CouncilGovernment of Canada
KeywordsComputer science

Abstract

fetched live from OpenAlex

The growth of what some academics refer to as 'the policy analysis movement' represents an effort to reform certain aspects of government behaviour.The policy analysis movement is the result of efforts made by actors inside and outside formal political decision-making processes to improve policy outcomes by applying systematic evaluative rationality to the development and implementation of policy options.This volume offers a comprehensive overview of the ways in which policy analysis has been conducted and to what effect by Canadian governments and -for the first time -by business associations, labour unions, universities, and other non-governmental organizations.Editors

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.139
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8610.724

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 head0.041
GPT teacher head0.259
Teacher spread0.217 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations0
Published2007
Admission routes2
Has abstractyes

Explore more

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