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Record W2592455427 · doi:10.1177/0020702017694212

The politician and the civil servant: Pierre Trudeau, Marcel Cadieux, and the Department of External Affairs, 1968–1970

2017· article· en· W2592455427 on OpenAlexaffabout
Brendan S. Kelly

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCivil servantBureaucracyPrime ministerCivil servantsGovernment (linguistics)Power (physics)ServantPolitical scienceManagementState (computer science)Public administrationLawSociologyPoliticsEngineering

Abstract

fetched live from OpenAlex

This article uses the experience of Marcel Cadieux, the Canadian under-secretary of state for external affairs at the time, as a lens through which to understand the adaptation of the Department of External Affairs to the government of Pierre Trudeau during its first year-and-a-half in power. Drawing on Cadieux’s private papers, especially his diary, and other archival sources, it explores the prime minister’s attitude toward senior civil servants, his personality, and the review of national defence policy undertaken by the bureaucracy at his request. It concludes that the difference between Pierre Trudeau and Marcel Cadieux was essentially that between the brilliant politician who sought to redefine government and the consummately professional civil servant who believed in his department’s traditional role.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.218
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0300.036
Scholarly communication0.0100.004
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.276
Teacher spread0.270 · 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 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

Citations2
Published2017
Admission routes2
Has abstractyes

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