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Record W1865612267 · doi:10.3138/cjpe.30.1.1

From New Public Management to New Political Governance: Implications for Evaluation

2015· article· en· W1865612267 on OpenAlexaffvenueabout
Jill Anne Chouinard, Peter Milley

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBureaucracyPublic administrationPoliticsCorporate governanceInstitutionContext (archaeology)Political scienceNew public managementPublic serviceDemocracyPower (physics)Public managementPublic relationsEconomicsPublic sectorManagementLaw

Abstract

fetched live from OpenAlex

Abstract: Public administration scholars have discerned a shift in the federal governance context in Canada, from what was traditionally a strong, nonpartisan public service to a more politicized, even partisan, model of public decision-making with power concentrated in the upper reaches of the political executive. We explore the potential implications of these changes for evaluation in the federal bureaucracy. Our analysis, tentative at this point, suggests that in light of heightened political pressures, and a decline in the use of “evidence” in federal policy circles, evaluations may present an increasingly complex activity for public administrators to manage. These developments raise important questions for the evaluation community about its relationships with public managers and its role and professional values in a democratic institution.

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)0.220
metaresearch head score (Gemma)0.452
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.220
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2200.452
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.007
Science and technology studies0.0090.052
Scholarly communication0.0300.033
Open science0.0040.010
Research integrity0.0070.010
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 head0.628
GPT teacher head0.592
Teacher spread0.035 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations16
Published2015
Admission routes3
Has abstractyes

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