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Record W4378382535 · doi:10.1515/9780773585799

Georges and Pauline Vanier

2011· book· en· W4378382535 on OpenAlexaboutno aff
Mary Frances Coady

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2011
Typebook
Languageen
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsGenealogyArtHistory

Abstract

fetched live from OpenAlex

Few figures have had as lasting an influence on Canadian institutions, history, politics, and culture as Georges and Pauline Vanier. Georges (1888-1967), a decorated military officer, became a professional diplomat, the first Canadian ambassador to France, and the first French-Canadian governor general of Canada. Pauline (1898-1991), a respected humanitarian, Privy Council member, and university chancellor, shared her husband's responsibilities and helped shape his thoughts on foreign and domestic affairs. Georges and Pauline Vanier follows their lives and travels across the world - from Canadian military life to the League of Nations, from the inner circles of British government to their harrowing escape from Nazi-occupied France - detailing their disappointments and triumphs during social and political turbulence. With insight and sympathy, Mary Frances Coady tells their dramatic personal story. Revealing their remarkably vibrant personalities, she details the couple's support of the French resistance as well as Georges Vanier's pleas for the Canadian government to accept refugees fleeing Hitler's horrors and his effort to broaden immigration policy. She also recounts the importance of their religious convictions, their controversial standing among Quebecers, and their early advocacy of official bilingualism. An invigorating and well-told tale of their lasting legacies, Georges and Pauline Vanier is the definitive account of the enduring contributions the Vaniers made to the world and to their 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)0.001
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.661
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.005

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 head0.064
GPT teacher head0.220
Teacher spread0.156 · 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
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

Citations2
Published2011
Admission routes1
Has abstractyes

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Same venueMcGill-Queen's University Press eBooksSame topicCultural Insights and Digital ImpactsFrench-language works237,207