Bibliographic record
Abstract
This book began as a collaborative project by academics and researchers involved in the Toronto-based Feminism and Political Economy Network.For five years, an informal study group of about fifteen people from the southern Ontario region between Peterborough and St Catharines met monthly to read and discuss new scholarship in political economy and feminist theory.Collectively, participants in the network developed a deeper appreciation of the strengths of a feminist political economy approach in general and the theoretical and explanatory possibilities of feminist conceptualizations of social reproduction in particular.The circumstances confronting feminists in Canada and in the province of Ontario specifically in the mid-to late 1990s underlined the need for feminist political economy.The Liberal federal government's elimination of the Canada Assistance Plan and its replacement with the Canada Health and Social Transfer in 1994 cut money transfers to provinces and territories and gave them significantly more power to determine which policy areas received funding.The election in 1995 of a Progressive Conservative government under Mike Harris resulted in a dramatic restructuring of Ontario's welfare state, affecting most aspects of social and economic life.The effects of neo-liberal policies and practices at the federal and provincial levels were profoundly gendered.The gains that women had won over the previous twenty years were eroded, and standards of living declined for many Preface vii
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.384 | 0.165 |
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".