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Record W598334894 · doi:10.3138/9781442674592

Ernest Lapointe: Mackenzie King's Great Quebec Lieutenant

2002· book· en· W598334894 on OpenAlexaboutno aff
Lita‐Rose Betcherman

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2002
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPrime ministerPolitical scienceAppealLeagueForeign policyAutonomyInternational relationsLawMedia studiesSociology

Abstract

fetched live from OpenAlex

This is a long-overdue study of one of Canada's most important political relationships. Highly readable and engaging, this work details the relationship between Quebec lieutenant Ernest Lapointe and Prime Minister Mackenzie King, showing how the close association of the two affected Canadian history in many important ways. Lapointe was the dominant French Canadian in federal politics from the start of the 1920s to the early years of the Second World War, serving as Minister of Justice and King's Quebec lieutenant. In return for promoting Liberal policies in Quebec, he was given an unusual amount of autonomy in his constituency, and, because the Prime Minister had a poor understanding of the province and of the French language, he was relied upon to give King the French-Canadian perspective. Lapointe's role in maintaining Liberal party unity, and, by extension, national unity, was crucial. Lapointe was equally important when it came to foreign affairs. He was known to take the lead over King, and the isolationist stance of both politicians served to undermine the League of Nations in its dealings with Italy over the invasion of Ethiopia. Lita-Rose Betcherman draws on key primary sources for her material, including the Lapointe Papers, the King Papers, the King Diary, and the media of the times. Ernest Lapointe thus documents Canadian politics and society in a rigourous and accessible manner that will appeal to a scholarly and general audiences.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0390.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.210
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2002
Admission routes1
Has abstractyes

Explore more

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