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Record W3090620813

A Marriage of Intersecting Needs: The Procurement of the Canadian Patrol Frigates by the Pierre Trudeau Government, 1977-1983

2020· article· en· W3090620813 on OpenAlexaboutno aff
Garison Ma

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)ProcurementGovernment procurementPolitical scienceBusinessEconomyEconomicsMarketing
DOInot available

Abstract

fetched live from OpenAlex

In December 1977, the Liberal government of Pierre Elliot Trudeau authorized the Department of National Defence to begin the acquisition of new warships for the navy. The decision to acquire fully combat capable warships was a shocking decision which marked the conclusion of a remarkable turnaround in Canadian defence policy. The navy, which had grown into a substantial and capable force during the early Cold War in the 1950s, had been in a steady decline since the mid-1960s as a result of the shifts in defence policy, cuts in personnel, and still deeper cuts to the capital funding needed to replace the many aging ships in the fleet. Furthermore, the government’s priority was the peacetime enforcement of Canadian laws and regulations, a role that could be carried out more efficiently by lightly armed vessels. The fulfillment of the nation’s wartime NATO responsibilities, which required the substantially more capable ship that it chose to acquire instead, was a secondary concern for the Trudeau government. Nevertheless, it opted to acquire fully combat capable warships for both military and political reasons. This marked the beginning of the largest procurement project in the country’s history, and one that was both innovative and successful. The result was a contract for six state-of-the art frigates, which was awarded to Saint John Shipbuilding, a shipyard based in Saint John, New Brunswick, in August 1983.\nThe Canadian Patrol Frigate (CPF) program was certainly a much belated and necessary effort to save the navy from “rust out.” As this thesis argues, however, political considerations well beyond those pertinent to the formulation of Canada’s defence policy were critically important in the bold decisions to procure sophisticated warships, and, moreover, to design and build them in Canada at a time when the necessary expertise had been severely eroded by the long hiatus in warship construction. In a democratic society such as Canada, which has a particularly strong tradition of civilian supremacy over the military, politics and defence matters are inseparable. The political leadership not only controls the objectives of the armed forces, but also the means to achieve them. Unsurprisingly, military procurement programs, with the large economic spinoffs at stake, are fraught with political interference in most nations. The CPFs were no exception, as this thesis will demonstrate through an examination of both the military and political developments leading to the acquisition of the ships, and the method of their design and construction. The program was born and shaped by the intersection of defence requirements and the political interest of Cabinet to muster the support of the electorate by stimulating economic development in ways that would both modernize domestic industries and bolster employment in the less prosperous regions in the country.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.964

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0440.009
Scholarly communication0.0080.003
Open science0.0020.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.017
GPT teacher head0.214
Teacher spread0.197 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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