Structural Constraints and Enablers to Community Food Security in Nova Scotia, Canada
Why this work is in the frame
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Bibliographic record
Abstract
As one output of a large participatory action research project, this article presents an empirically grounded analysis of constraints and enablers to community food security (CFS) in the province of Nova Scotia, Canada. Our objective is to lay the groundwork for identifying strategic intrasectoral and cross-sectoral opportunities to further CFS. Theoretically, our research is informed by neo-Gramscian theories of the forces that enable sociopolitical change in the political economy of food systems and is grounded in the principles of participatory action research. The analysis is based on 41 interviews and a stakeholder gathering with people representing public sector, private sector, and civil society organizations working on food, poverty, health, agriculture, and fisheries issues in Nova Scotia.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it