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Record W3008655655 · doi:10.1177/0020852320905348

Canada’s top public servants meet agency theory in the Harper years (2006–2015)

2020· article· en· W3008655655 on OpenAlexaffabout
Jacques Bourgault, James Iain Gow

Bibliographic record

VenueInternational Review of Administrative Sciences · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsUniversité de MontréalÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsAgency (philosophy)AccountabilityPublic servicePoliticsPublic administrationGovernment (linguistics)Political scienceCoalition governmentService (business)Public relationsSociologyBusinessLaw

Abstract

fetched live from OpenAlex

A survey of Canada’s top public servants was used to test the effects on them of the agency version of the public service bargain held by the Conservative government of Stephen Harper (2006–2015). Most results were as expected: increasing politicization and prime ministerial influence added much complexity to the deputy minister’s job; and ministers’ political staffers acted as guardians of the agency bargain. However, the survey led to the observation of a decline in ministers’ powers and to the surprising increase of the parliamentary accountability of deputy ministers, as well as to some challenge to the concept of public service bargains. Points for practitioners It is a good idea to consider what the main components of the public service bargain are in any public workplace, that is, what expectations exist about duties, competencies, criteria of evaluation, rewards, and discipline for permanent employees and political staffers. Too strong an agency bargain creates confusion about responsibilities, accountability, and a culture of risk avoidance. Staffers should not disrupt the chain of command and should treat public servants with respect and courtesy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.130
GPT teacher head0.392
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations12
Published2020
Admission routes2
Has abstractyes

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