Impact on medium-term individual capacity building from involvement in Participatory Food Costing
Bibliographic record
Abstract
Food insecurity is a multifaceted issue that requires further attention in Nova Scotia and throughout the world. Capacity building is considered to be a strategy for improving food security and is suggested to be a benefit of participatory processes. The purpose of the present study was to explore the individual capacity building processes and outcomes of medium-term involvement, defined as greater than four years, in Participatory Food Costing. Seven participants of the Nova Scotia Participatory Food Costing Project who had been involved for at least four years were recruited for this study. All participants were Nova Scotian women and most were affiliated with their local Family Resource Centres. Semi-structured telephone interviews were conducted with each participant and the questions followed the adult learning model. The data were collected, transcribed and coded using the phenomenology approach of qualitative research. Nine main themes emerged through analysis of the interviews: awareness, personal development, participation, readiness to change, influence on others, political impact, self-esteem, project continuity and project growth. These themes were consistent with the dimensions of capacity building that have been outlined in the published literature, indicating evidence for capacity building. The findings of this study demonstrate that capacity building processes and outcomes of those involved in Participatory Food Costing can contribute to solving food security related issues.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.007 |
| 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".