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Record W2109330350

Marginalization through a Custom of Deservingness: Sole-Support Mothers and Welfare Law in Canada

2012· article· en· W2109330350 on OpenAlexaffabout
Rebecca Crookshanks

Bibliographic record

VenueAppeal: Review of Current Law and Law Reform · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWorkfareEntitlement (fair division)WelfarePolitical scienceSocial securityWelfare rightsSingle mothersChild supportWorking poorPovertyWelfare dependencyLawEconomicsPsychology
DOInot available

Abstract

fetched live from OpenAlex

Despite the reluctance of most liberal states to provide forms of income security and social supports to those in need, some from within their ranks have managed to be seen as more “deserving” of modest forms of support. Canada’s welfare system has always been structured using a “custom of deservingness.” Historically, sole-support mothers were among those considered, however precariously and unevenly, to merit the status of most “deserving” as recipients of public funding. Unfortunately, however, extensive welfare law and policy reforms since the neo-liberal re(formation) have effectively erased the category of sole-support mothers as being a “deserving poor.” By synthesizing welfare law then and now, it is possible to identify the continuities and discontinuities that have shaped and reshaped the lives and experiences of sole-support mothers. Analyses of how increasingly punitive treatment has rendered them undeserving can help illuminate the profound changes that have occurred under neo-liberalism. !e path from past to present has been marked by shifts from public responsibility to private self-reliance, and from social welfare entitlement rights to individualized support and workfare obligations aimed at combating dependency. !e “custom of deservingness” and workfare system’s emphasis on erasing the “dependent” category has resulted in the marginalization of sole-support mothers.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.356

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 studies0.0000.001
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 head0.036
GPT teacher head0.339
Teacher spread0.302 · 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 designTheoretical or conceptual
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
Published2012
Admission routes2
Has abstractyes

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