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Record W4240049968 · doi:10.1002/pam.1025.abs

Moving Up, Moving Out, or Going Nowhere? A Study of the Employment Patterns of Young Women and the Implications for Welfare Mothers

2001· article· en· W4240049968 on OpenAlexaboutno aff
LaDonna Pavetti, Gregory Acs

Bibliographic record

VenueJournal of Policy Analysis and Management · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
FundersAnnie E. Casey Foundation
KeywordsQuarter (Canadian coin)WelfareNational Longitudinal SurveysWelfare reformWelfare systemWork (physics)Labour economicsDemographic economicsSingle mothersLongitudinal dataEconomicsPublic policyBusinessPsychologySociologyEconomic growthDemography

Abstract

fetched live from OpenAlex

Conventional wisdom holds that women on welfare will be better off in the long run if they take a job, even if it means initially having less money to spend on their and their children's needs. Underlying this thinking is the belief that women who take low-paying jobs will eventually move up to higher paying jobs either with their current employer or by changing employers. This paper examines the employment transitions of young women focusing on the likelihood that women who turn to the welfare system for support will make the transition from low-paying to high-paying jobs. The data are drawn from the National Longitudinal Survey of Youth (NLSY). Based on the experiences of women who never received welfare, an estimated one-quarter of young women who received welfare could be firmly established in jobs paying more than $9.50 an hour by ages 26 and 27. An additional 40 percent would work steadily but in low-paying jobs, and more than one-third would work only sporadically. © 2001 by the Association for Public Policy Analysis and Management.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.323
Teacher spread0.298 · 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 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

Citations10
Published2001
Admission routes1
Has abstractyes

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