Bibliographic record
Abstract
In the period since the Second World War there has been both a massive influx of women into the Canadian job market and substantive changes to the welfare state as early expansion gave way, by the 1970s, to a prolonged period of retrenchment and restructuring. Through a detailed historical account of the Unemployment Insurance (UI) program from 1945 to 1997, Ann Porter demonstrates how gender was central both to the construction of the post-war welfare state, as well as to its subsequent crisis and restructuring. Drawing on a wide range of sources (including archival material, UI administrative tribunal decisions, and documents from the government, labour and women's groups) she examines the implications of restructuring for women's equality, as well as how women's groups, labour and the state interacted in efforts to shape the policy agenda.Porter argues that, while the post-war welfare state model was based on a family with a single male breadwinner, the new model is one that assumes multiple family earners and encourages employability for both men and women. The result has been greater formal equality for women, but at the same time the restructuring and reduction of benefits have undermined these gains and made women's lives increasingly difficult. Using concepts from political economy, feminism, and public policy, this study will be of interest across a range of disciplines
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".