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Record W2169073103 · doi:10.1017/s0147547909990238

A Mighty Power against the Cost of Living: Canadian Housewives Organize in the 1930s

2010· article· en· W2169073103 on OpenAlexaffabout
Julie Guard

Bibliographic record

VenueInternational Labor and Working-Class History · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPoliticsGrassrootsState (computer science)Power (physics)Political economyGovernment (linguistics)Political scienceSociologyLaw

Abstract

fetched live from OpenAlex

Abstract Consumer activists organizing in the 1930s against rising milk prices demonstrated the power of a strong grassroots movement to enlarge prevailing understandings of the political and to wring responses from an unwilling state. Their maternalism, combined with milk's emotional, social, and political meanings, attracted broad popular support and deflected criticism from the dairy industry, hostile public officials, and anticommunists. Their campaign for affordable milk became a synecdoche for broader demands that the state restrain business in the interests of consumers and protect ordinary people from the harsh injustices of the Depression. After winning immediate concessions, the Toronto Housewives Association failed to achieve their long-term goals, but their impact was nonetheless significant. Their campaign fueled and informed public debates about the political economy of food and government's responsibilities to protect citizens, pushing socialist policies onto the political agenda under the cover of maternalism. Participation in Housewives' campaigns transformed powerless victims into effective political actors. Housewife-activists challenged prevailing notions of normative feminine behavior, creating social space for ordinary women acting within their domestic roles to engage in direct political action.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.937

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0490.018
Scholarly communication0.0080.001
Open science0.0020.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations7
Published2010
Admission routes2
Has abstractyes

Explore more

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