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Record W7043239823

Second Class Citizenship: An Examination of Women and Minorities, Victims of the American Welfare State

2001· article· en· W7043239823 on OpenAlexaboutno aff

Bibliographic record

VenueWorks - Scholarship, Research, & Creative Expression (Swarthmore College) · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSocial policyWelfareValue (mathematics)PaymentWelfare stateSocial WelfareSocial classRace (biology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

This thesis provides a fresh look at the relationship between welfare, race and gender, and the value of women's household work. This topic is approached from economic, historical, and Black Studies perspectives. Included is an evaluation of the value of women's household production, by comparing one woman's nominal value of household production to the amount that she receives in welfare, in order to show how society undervalues women's production in the home. There has yet to be a study done that addresses the way in which American society view women's productivity in the home by examining the federal programs established to compensate her for not working. The term compensate is used because we need to start thinking of welfare payments as women's compensation for the work that they do in the home. The history of social welfare policy from the 17th century to the present is examined with a focus on social welfare policies created during the Roosevelt, Johnson, Nixon, Reagan and Clinton administrations, as well as a discussion on the exclusive nature of major social welfare policies that denied access to women and minorities. The effects of race and gender on social welfare policy are also discussed.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.338
Teacher spread0.300 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2001
Admission routes1
Has abstractyes

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