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Record W4385597743 · doi:10.59962/9780774867269

A Liberal-Labour Lady

2021· book· en· W4385597743 on OpenAlexaboutno aff
Veronica Strong‐Boag

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsLabour economicsSociologyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

A Liberal-Labour Lady restores British Columbia’s first female MLA and the British Empire’s first female cabinet minister to history. An imperial settler, liberal-labour activist, and mainstream suffragist, Mary Ellen Smith (1863–1933) demanded a fair deal for “deserving” British women and men in the late nineteenth and early twentieth centuries. Born in England in 1863, the daughter and wife of miners, she emigrated to Nanaimo, BC, in 1892. As she became a well-known suffragist and her husband Ralph won provincial and federal elections, the power couple strove to shift Liberal parties leftward to benefit women and workers, while still embracing global assumptions of British racial superiority and bourgeois feminism’s privileging of white women. Ralph’s 1917 death launched Mary Ellen as a candidate in a tumultuous 1918 Vancouver by-election. In the BC legislature until 1928, Smith campaigned for better wages, pensions, and greater justice, even as she endorsed anti-Asian, settler, and pro-eugenic policies. Simultaneously intrepid and flawed, Mary Ellen Smith is revealed to be a key figure in early Canada’s compromised struggle for greater justice.

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)0.000
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 score0.325
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.006
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0250.007

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 head0.018
GPT teacher head0.194
Teacher spread0.176 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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