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Record W4405821596 · doi:10.1111/capa.12597

Improving Interactions: Public Sector Reform and Parliamentary Committees

2024· article· en· W4405821596 on OpenAlexaff
John L. Nater, Kathy L. Brock

Bibliographic record

VenueCanadian Public Administration · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsQueen's University
Fundersnot available
KeywordsParliamentLegislaturePublic sectorPublic administrationProcess (computing)Legislative processCentralityGovernment (linguistics)Public policyPolitical sciencePoliticsLawComputer science

Abstract

fetched live from OpenAlex

Abstract A well‐functioning policy process requires a responsible public service that supports the government and implements its decisions, and a representative legislature that holds the executive to account for policy decisions and actions. Reform of either the public sector or Parliament alone is insufficient to ensure that the relationship between the two bodies works to the benefit of Canadians as intended. This article explores that relationship using committees as a focal point given their centrality to the operation of the policy system. It begins with a discussion of the role of the two bodies in the policy process and criteria for assessing any potential reforms, followed by a brief discussion of recent attempts at reform and their positive and negative lessons. We conclude by identifying three key reform options for the public sector and parliament to improve their interaction in this vital, yet often overlooked, part of the policy process.

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)0.086
metaresearch head score (Gemma)0.128
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.513

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0860.128
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0260.018
Scholarly communication0.0210.009
Open science0.0040.015
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.042
GPT teacher head0.308
Teacher spread0.266 · 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 designQualitative
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

Citations1
Published2024
Admission routes1
Has abstractyes

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