Women, Poverty Policy, and the Production of Neoliberal Politics in Ontario, Canada
Bibliographic record
Abstract
This article contributes to our understanding of the production of neoliberal policies and political culture by offering an anthropological analysis of women, poverty policy, and Third Way politics in Ontario, Canada. After tracing the history of neoliberal politics globally and in Ontario, I consider two examples of women's attempts to shape poverty policy drawn from ethnographic research in the legislature. The first centers on a social assistance recipient who was unexpectedly thrust into the media spotlight, thus given a chance to speak publicly about Ontario's welfare policies. The second focuses on a consciously planned challenge to policy by a coalition of feminist researchers and front‐line workers. These cases illuminate the challenges facing feminists who seek to shape Third Way government policy, as discussion of gender and socioeconomic inequality is actively avoided by politicians, and women's experiences of poverty and demands for action are ignored, obfuscated or re‐packaged.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".