Capacity building and personal empowerment: participatory food costing in Nova Scotia, Canada
Bibliographic record
Abstract
Food insecurity impacts millions of people globally. It has been recognized as a priority and a human right by the United Nations where empowerment of women is identified as a significant goal in addressing food insecurity. In the Maritime Province of Nova Scotia (NS), Canada, more than one in five children live in food insecure households. Since 2002, participatory action research (PAR) has been an integral component of food costing in NS with an aim to support capacity building for food security. Building on earlier research that examined short-term outcomes, and recognizing a lack of research examining outcomes of PAR processes, this study aimed to explore the medium-term individual capacity building processes and outcomes of women involved in Participatory Food Costing (PFC). Findings revealed that capacities were built with respect to interrelated themes of 'awareness, participation, personal development, readiness to change, political impact, influence on others, self-esteem, project growth and project continuity'. In addition, the involvement of these women in PFC resulted in both personal empowerment and food security-related policy change. Involving vulnerable populations through PAR is valuable in influencing health-related policy.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".