Poverty Reduction in Manitoba under Neoliberalism: Is the Third War an Effective Way
Bibliographic record
Abstract
n May 21, 2009, the Government of Manitoba launched its threeyear Poverty Reduction Strategy, All Aboard.268 It was the fifth province to introduce such a strategy, and as of 2013, all provinces and territories except British Columbia and Saskatchewan have introduced poverty reduction strategies.269 These pan-Canadian developments are likely largely related to the combination of a federal government practicing a more traditional view of federalism based on definitive jurisdictional separation, with social services and social assistance being in the provincial jurisdiction, 270 and enduring ranking by Canadians of poverty as an important target for state action.271 Beyond this, enlightened self-interest should motivate provincial action on poverty Associate Professor in the Faculty of Social Work at the University of Manitoba.268 A Mendell, Comprehensive Policies to Combat Poverty across Canada, by Province (Montreal: National Collaborating Centre for Healthy Public Policy, 2009).269 Canada Without Poverty, Poverty Progress Profiles (2012)
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".