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Record W4388180157 · doi:10.1080/0966369x.2023.2263915

The Toronto Wages for Housework Committee: a contribution to the critique of society and space

2023· article· en· W4388180157 on OpenAlexafffundabout
Sinéad Petrasek

Bibliographic record

VenueGender Place & Culture · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReproductionPoliticsSociologyFeminismSocial reproductionUrbanizationWelfareGender studiesSpace (punctuation)Labour economicsEconomicsPolitical scienceEconomic growthSocial scienceLaw

Abstract

fetched live from OpenAlex

Renewed attention to social reproduction theory has generated fresh scholarly interest in socialist-feminist movements from the 1970s-80s such as Wages for Housework. While the critique of domestic labour mounted by the international Wages for Housework campaign is widely known, less attention has been paid to the spatial dimension of their politics. This paper therefore investigates the relations between social reproduction feminism and urban geography, with special reference to the Toronto Wages for Housework committee. On the basis of archival research, I examine how Wages for Housework Toronto collaborated with other urban social groups such as immigrant domestic workers, shelter operators, tenants, and welfare activists to challenge dominant views about property and work. This historical-geographical study shows that a key lesson from Wages for Housework in Canada consists in considering urbanization as an essential element in the relationship between production and reproduction. I argue in conclusion that this critical spatial perspective on social reproduction holds vital political implications for making sense of contemporary crises of care in cities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.304
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2023
Admission routes3
Has abstractyes

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