Culturally appropriate foods for Somali Refugee Path Immigrants (RPF) in the Greater Toronto Area: Planning lessons for integrating RPF
Bibliographic record
Abstract
This paper examines the connection between food sovereignty and the food accessibility of Somali refugee path immigrants in the GTA. The analysis highlights the challenges and implications for Somalis as they search for culturally appropriate foods. With reference to focus groups and in-depth interviews by a research team that I was a member of on behalf of Dr. Bamidele Adekunle, in addition to secondary literature available on Somali Canadians, this major research paper provides an assessment of how food sovereignty for these refugee path immigrants could be improved such that they may be able to access more of their culturally appropriate foods in the Greater Toronto Area. As a member of this team, I have also administered questionnaires which will be analyzed later by Dr. Adekunle and his team. With his permission, this paper will present some qualitative findings from this study. The challenges which Somalis have faced are also related to the struggles many of which will likely affect newer and incoming Syrian refugees. Somalis have adjusted to life in Canada by shopping at ethnic stores, using substitutes for foods, and changing their consumption patterns to reflect typical Canadian lifestyles.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".