Exploring Indigenous Undergraduate Students’ Experiences within Urban and Institutional Food Environments
Bibliographic record
Abstract
Indigenous Peoples within Canada experience higher rates of food insecurity, as do undergraduate students attending post-secondary institutions. Few studies have investigated the determinants of food practices and preferences for Indigenous students living away from their households and local environments. An exploratory study was designed to investigate Indigenous students’ experiences accessing local food environments. Research objectives included exploring Indigenous students’ experiences within institutional and community food settings; and examining campus- and community-based supports addressing their unique needs. Semi-structured interviews took place with eight self-identified Indigenous students. Four service providers participated in a focus group that included stakeholders from the post-secondary institution and the local community. Thematic analysis was used to categorize results into individual, interpersonal, organizational and community levels, according to the socio-ecological model. Themes based on the students’ responses included food and nutrition knowledge, financial capacity, convenience, social influences, campus food environment, cultural connections, and institutional support. Those participating in the focus group discussed the importance of social supports and connections to improve Indigenous students’ food environments beyond institutional parameters. Results suggest that Indigenous students are more aware of individual and interpersonal peer environments, with limited awareness of community services and cultural connections beyond campus. Indigenous students and community members require increased organizational and community awareness to support urban Indigenous food environments and sustainably address the range of socio-ecological conditions impacting food security.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".