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Record W2253399468 · doi:10.60082/2817-5069.1223

From Mothers' Allowance to Mothers Need Not Apply: Canadian Welfare Law as Liberal and Neo-Liberal Reforms

2007· article· en· W2253399468 on OpenAlexaffvenueabout
Shelley A. M. Gavigan, Dorothy E. Chunn

Bibliographic record

VenueOsgoode Hall law journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsSimon Fraser UniversityYork University
Fundersnot available
KeywordsAllowance (engineering)Welfare stateState (computer science)WelfareLiberalismPoor lawWelfare reformPovertyLawPolitical scienceSociologyEconomicsPolitics

Abstract

fetched live from OpenAlex

In this paper we examine changes in the form and content of Canadian welfare law through a historical, feminist lens using the exemplar of mother-headed families. Our analysis of how the state dealt with sole support mothers in several provinces throughout the twentieth century reveals important continuities, as well as discontinuities, between the past and the present that have shaped and reshaped the lives and experiences of poor women and their children. In doing so, it helps to illuminate how they have been rendered "undeserving" or "never deserving" with the neo-liberal (re)formation of the Keynesian state in Canada.

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)0.005
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.257
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0280.030
Scholarly communication0.0110.003
Open science0.0020.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.291
Teacher spread0.276 · 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
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

Citations2
Published2007
Admission routes3
Has abstractyes

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