Bibliographic record
Abstract
Background: The purpose of this phenomenological study is to explore the existing research on the determinants and influential factors of eating decisions made by Aboriginal peoples and provide insight from the perspective of Aboriginal peoples living off-reserve in Ottawa, Ontario. Methods: This study was comprised of a convenience sample of 12 Aboriginal individuals from a local Aboriginal community centre. Participants were asked to conduct a personal food diary of their meals for a period of 3 days, followed by a one-on-one semi-structured interview. The interviews were designed to explore: 1) knowledge and perspectives of healthy eating 2) knowledge and perspectives of Health Canada’s Eating Well with Canada’s Food Guide – First Nations, Inuit and Métis, 3) perception of influential factors 4) self-efficacy and 5) common barriers in making food choices. Results: 1) Except for the senior participants, healthy food knowledge did not translate into healthy food choices for most participants; 2) Most participants had not seen a copy of the Eating Well with Canada’s Food Guide – First Nations, Inuit and Métis, and all participants felt they were not influenced by it when making eating decisions; 3) The main themes of influential factors were concluded to be: taste preference, availability, convenience, “had no choice”, health reasons, “easy to make”, low in cost, following a diet or “food schedule,” hunger or thirst, “needed something quick”, nearby location (of store or restaurant), being tired or lazy and being in a routine; 4) Most participants perceived themselves as having control over their eating decisions regardless of situational factors and level of motivation varied between participants; 5) Time, financial constraints, having a busy schedule and being unprepared for meals were identified as possible barriers. Conclusions: Either version of the food guide should be developed into a more flexible and convenient tool such as a mobile application. Local community centres should consider providing workshops in food preparation, and to strengthen skills such as understanding food labels of market foods to ease the transition to living off-reserve. Future Implications: Policy makers at the federal, provincial and municipal levels should work together and strengthen their communication strategies in order to coordinate the development and implementation of future interventions.
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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 | 0.003 |
| 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 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".