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Record W2146384766 · doi:10.1093/sp/jxs007

From Parent to Patient: The Medicalization of Lone Motherhood through Welfare Reform

2012· article· en· W2146384766 on OpenAlexaboutno aff
Jane Pulkingham, Steve Fuller

Bibliographic record

VenueSocial Politics International Studies in Gender State & Society · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicalizationWelfare reformState (computer science)PoliticsGender studiesWelfare stateSociologyWelfarePolitical scienceMedia studiesLawPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Welfare reform in the United States is associated with “metaphorical medicalization,” a process involving increased reliance on monitoring and “technologies of the self,” such as life skills counseling focused on the personal problems, habits, and attributes of welfare recipients, rather than on job skills and training or educational needs ( Schram 2000, Social Text, 18 [162]: 82–107). Metaphorical medicalization is also a feature of the dynamics of contemporary neoliberalizing welfare reform initiatives in Canadian jurisdictions. In this paper, however, we argue that medicalization has become more than metaphorical for lone mother welfare recipients in British Columbia and Ontario. In exploring the development and extent of this medicalizing trend in the two provinces, and its more intensified form in British Columbia, we shed light on the critical gendered effects of ostensibly gender-neutral welfare reform.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.024
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.182
GPT teacher head0.369
Teacher spread0.187 · 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.

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

Citations12
Published2012
Admission routes1
Has abstractyes

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