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Record W4385600773 · doi:10.59962/9780774834063

Trudeaumania

2016· book· it· W4385600773 on OpenAlexaboutno aff
Paul Litt

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2016
Typebook
Languageit
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

In 1968, Canadians dared to take a chance on a new kind of politician. Pierre Trudeau, a relative newcomer to federal politics, became the leader of the Liberal Party and prime minister that April. Within two months, he led the Liberals to victory in a snap election. His meteoric rise to power was driven by Trudeaumania, an explosive mix of passion and fear fueled by media hype and nationalist ambition. Exhilarated crowds greeted his appearances across the country. He became a sex symbol whose image was burnished by the star-making machinery of posters, fashion, and hit songs. This book is the definitive account of Trudeaumania. Combining a lively narrative with images reflecting the rich visual culture of the times, Paul Litt’s carefully considered cultural history traces what happened when the fabled spirit of the sixties – human rights, ban-the-bomb, Vietnam, sex ‘n’ drugs ‘n’ rock ‘n’ roll, psychedelia, the counterculture – met the excitement of the Centennial and Expo 67. Canadians wanted to modernize their nation, differentiate it from the United States, and thwart the threat of Quebec separatism. Within this charged setting, Trudeau was seen as a transformative figure who would rejuvenate the nation in keeping with the idealistic hopes of the times. Litt’s evocative account of the times shows that the mania that swept Canada fifty years ago was not just a sixties crazy moment. It was a passionate quest for a new Canada that would define the values of Canadians for decades to come.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.935
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.008
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0280.009

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 head0.011
GPT teacher head0.171
Teacher spread0.159 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

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Same venueUniversity of British Columbia Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207