Living Beyond the Edge: The Impact of Trends in Non-Standard Work on Single/Lone-Parent Mothers
Bibliographic record
Abstract
This is an empirical study of the impacts the trends in the labour force (the increased use of non-standard, contingent working patterns) have on single mothers/lone parents. The already precarious socio-economic situation of the majority of single mothers is exacerbated by these trends, and the combination of their relatively low educational rates and modest employability skills, coupled with their sole responsibility for care of their children, makes active participation in the labour force an unlikely and often impractical direction to pursue. The study draws on a combination of cross-Canada interviews with 82 single mothers participating in employability-enhancement training, interviews with 49 government respondents and service providers, an intensive labour force analysis and a review of Canadian and international literature. The authors conclude that ongoing adjustment to existing national taxation and child benefit regimes is inadequate for bringing about genuine change for the better for these most vulnerable women and their children. Rather, they call for a substantial re-orientation of national values and an innovative, flexible and integrated system of policies and programs that address the full complexity of the changing labour market and the situation of the women. Only such a comprehensive approach can result in truly effective, long-term change for the better for this important segment of our society.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".