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Record W4361028804 · doi:10.1108/ijpl-10-2022-0054

Promiscuously partisan public servants? Publicly defending and promoting the government’s reputation to the detriment of bureaucratic impartiality and truthfulness

2023· article· en· W4361028804 on OpenAlexaffabout
Christopher A. Cooper

Bibliographic record

VenueInternational Journal of Public Leadership · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsImpartialityReputationPoliticsPolitical scienceBureaucracyObjectivity (philosophy)LawLoyaltyGovernment (linguistics)SociologyPhilosophy

Abstract

fetched live from OpenAlex

Purpose For many, the claim that a new approach to bureaucracy—new political governance (NPG)—is underway reads as if it was written by Stephen King: Frightening fiction. While the thought of promiscuously partisan senior public servants publicly defending and promoting the government’s reputation to the demise of impartiality is disturbing, the evidentiary record has led most to dismiss the idea as empirically false. This article questions, and empirically investigates, whether dismissing the idea of promiscuous partisanship has been premature. Design/methodology/approach A case study of the loyalty displayed by Canada’s most senior public servant during a highly publicized parliamentary committee is analysed with a novel theoretical and empirical approach in three steps. First, the Clerk of the Privy Council (Clerk)’s committee testimony is analysed against analytical constructs of impartial and promiscuous partisan loyalty that focuses on the testimony’s direction and substance. Second, the objectivity and truthfulness of the testimony is analysed by comparing what was publicly claimed to have occurred against evidence submitted to the committee that provids an independent record of events. Third, the perception the Clerk’s testimony had on some committee members, political journalists and members of the public is analysed through print media and committee Hansard. Findings While the Clerk’s testimony displays an awareness of upholding impartiality, it also comprises promiscuous partisanship. Throughout his testimony, the Clerk redirects from the line of questioning to defend and promote the sitting government’s reputation. Moreover, to defend and promote the government’s reputation the Clerk’s testimony moved away from objectivity and engaged in truth-obfuscating tactics. Finally, the nature of the Clerk’s testimony was perceived by some committee members and the public—including former senior public servants—as having abandoned impartiality to have become a public “cheerleader” of the government. Research limitations/implications Employing an in-depth case study limits the extent to which the findings concerning the presence of promiscuously partisan loyalty can be generalized beyond the present case to the larger cadre of senior public servants. Originality/value Empirically, while most research has dismissed claims of promiscuous partisanship as empirically unfounded, this article provides what is possibly the strongest empirical case to date of a public incident of promiscuous partisanship at the apex of the bureaucracy. As such, scholars can no longer dismiss NPG as an interesting idea without much empirical leverage. Theoretically, this article adds further caution to Aucoin’s original narrative of NPG by suggesting that promiscuous partisanship might not only involve senior public servants defending and promoting the government, but that doing so may push them to engage in truth-obfuscating tactics, and therein, weaken the public’s confidence in political institutions. The novel theoretical and empirical approach to studying senior public servants’ parliamentary testimony can be used by scholars in other settings to expand the empirical study of bureaucratic loyalty.

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)0.010
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.332
GPT teacher head0.430
Teacher spread0.098 · 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 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

Citations4
Published2023
Admission routes2
Has abstractyes

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