Foundations for Social Change: Reflections on Ontario’s Poverty Reduction Strategy
Bibliographic record
Abstract
Pedro Barata and Colette Murphy were responsible for Economic Justice / Poverty Reduction programs in two Toronto-based private charitable foundations (the Atkinson Charitable Foundation and the George Cedric Metcalf Charitable Foundation, respectively) during the period surrounding the Ontario government’s 2008 commitment to a formal Poverty Reduction Strategy (roughly 2007 to 2010). In this article, they draw on key dynamics they experienced as funders, partners, and advocates during that period to reflect on an “emergence of change” paradigm and outline promising practices that foundations – and other advocates – may draw on to contribute to social change. Pedro Barata et Colette Murphy etaient responsables de programmes de justice economique et de reduction de la pauvrete au sein de deux fondations caritatives privees etablies a Toronto (respectivement l’Atkinson Charitable Foundation et la George Cedric Metcalf Charitable Foundation) au moment ou le gouvernement de l'Ontario a pris, en 2008, l'engagement officiel d’adopter une strategie de reduction de la pauvrete (de 2007 a 2010, approximativement). Dans cet article, ils tirent parti des dynamiques cles qu'ils ont observees au cours de cette periode en tant que bailleurs de fonds, partenaires et porte-parole pour reflechir au paradigme de l’« emergence du changement » et definir des pratiques prometteuses que les fondations et autres acteurs pourraient utiliser pour contribuer au progres social.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 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".