How do the U.S and Canadian Social Safety Nets Compare for Women and Children?
Bibliographic record
Abstract
The past 25 years has seen substantial change in the social safety nets for families with children in the US and Canada. Both countries have moved away from cash welfare but the US has done so relying more exclusively on inwork benefits with work requirements. This paper examines this evolution across the two countries and examines the effects on employment and poverty. In particular, we focus on the two largest programs over this period: the U.S. EITC and the Canadian NCB/CCTB. In light of these policy changes, we examine trends in employment and poverty of the most affected families --single mothers with less than a college degree --across the two countries. We find that employment improved substantially in both countries, absolutely and relative to a control group of single women without children. The cross-country differences in relative trends are mainly explained by differences in the labor market conditions. Poverty rates for single mothers also declined in both countries with more of the decline coming through market income in the U.S. and benefit income in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".