Working their Way Out of Poverty? Gendered Employment in Three Welfare States
Bibliographic record
Abstract
Governments increasingly view earning and saving as the main solutions to low-income and debt, but is it feasible to expect all parents to work their way out of poverty? This paper compares gendered patterns of income, and state support for earning and caring in three similar welfare states: Australia, New Zealand and Canada. Relying on recent OECD statistics and national studies, the paper examines employment patterns, poverty rates and state support, noting similarities but also wide variations by gender, family configuration and country. The paper argues that increases in female employment have modified household incomes but the changes have been insufficient to counteract gendered patterns of unpaid work and the challenges women face when parenting alone. Especially mothers find themselves working in low-paid jobs with little hope of job mobility and their economic circumstances often vary by marital status and levels of state support. In Canada and New Zealand, few lone mothers can work their way out of poverty but Australia offers longer support for mothering at home and enhanced in-work benefits that reduce poverty rates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".