Growing roots: the role of collective community gardening in cultural food insecurity and social integration of African immigrants in Alberta, Canada
Bibliographic record
Abstract
BACKGROUND: In western countries such as Canada, immigrants are experiencing cultural food insecurity - that is the inability to acquire, afford, and access one' ethnic foods and community gardens have emerged as potential area for addressing cultural food insecurity. However, limited knowledge exists on the role of collective community gardens in addressing the cultural food needs of immigrant communities. METHODS: We conducted a community-based participatory research (CBPR) informed by an Afrocentric lens using quantitative and qualitative research methodologies. Data collection involved an online survey (n = 119) which was co-developed and co-administered with our community partners- Sinkunia Community Development Organization (SCDO). Semi-structured, in-depth interviews (IDI) were also conducted with purposefully sampled participants (n = 10) to obtain nuanced narratives. This study included Black identifying African immigrants from sub-Saharan countries. RESULTS: High prevalence of food insecurity (75.6%) was observed in the survey participants, higher than the general Canadian household prevalence rate. Participants recalled experiencing food insecurity ranging from mild (39.5%) to moderate (26.1%) and severe (10.1%) food insecurity. High prevalence of cultural food insecurity (80.7%) was also observed with most participants reporting some level of deprivation of cultural foods. However, participants demonstrated resilience and adaptability in maintaining their cultural food-ways amid these challenges. Collective community gardens allowed immigrant communities to: (a) cultivate connections through food production ('seeds of sovereignty'); (b) build intergenerational bridges ('seeds of identity'); (c) grow together across generations; and (d) grow strong to embody health and wellbeing. CONCLUSION: The findings contribute to a growing body of evidence on the embodied benefits of community gardens for food security and social place-making of immigrant populations. High interest and engagement in gardening activities in the population suggests potential for expansion of community-led initiatives to support social and cultural integration of immigrant. This is important to Alberta's and to Canada's current and future sustainable economic and social growth.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".