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Record W4385361859 · doi:10.59962/9780774863247

A Great Revolutionary Wave

2020· book· en· W4385361859 on OpenAlexaboutno aff
Lara Campbell

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryGeology

Abstract

fetched live from OpenAlex

Suffrage in British Columbia – and elsewhere in Canada – is best understood as a continuum: although white settler women achieved the federal vote in 1917, it would take another thirty years before the provincial government would remove race-based restrictions on voting rights. British Columbia is often overlooked in the national story of women’s suffrage. A Great Revolutionary Wave challenges that omission and the portrayal of suffragists as conservative, traditional, and polite. Lara Campbell follows the propaganda campaigns undertaken by suffrage organizations and traces the role of working-class women in the fight for political equality. She demonstrates the connections between British Columbian and British suffragists and examines how racial exclusion and Indigenous dispossession shaped arguments and tactics for enfranchisement. A Great Revolutionary Wave rethinks the complex legacy of suffrage by considering both the successes and limitations of women’s historical fight for political equality. That legacy remains relevant today as Canadians continue to grapple with the meaning of justice, inclusion, and equality.

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)0.001
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 score0.734
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.010
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.027
GPT teacher head0.197
Teacher spread0.170 · 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
Published2020
Admission routes1
Has abstractyes

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