Health literacy as a determinant of healthy eating and active living in Canadian immigrant youth
Bibliographic record
Abstract
The purpose of the study was to explore health literacy and community engagement in relation to active living with newcomer young people and their families. We employed a case study design and a participatory approach. The data collected included photovoice and photo-assisted focus group interviews, which included an initial stage when youth participated in workshops creating collages on healthy living. A follow-up focus group centred on discussion of the collages with subsequent training on the photovoice method and the use of the cameras, and a second focus group, which incorporated photos taken by participants during the programming and their leisure time. Different themes were developed from the data: active living, balance, body talk, challenges, environment and health, culture and health, family, health and food, health and safety, knowledge, source of knowledge, peers and friends, personal hygiene, recreational activities, socio-emotional health, social isolation and spiritual health. Excerpts were taken from the different themes to demonstrate the immigrant/refugee youths' understanding of levels of health literacy and its contribution to healthy eating and active living. The qualitative findings are presented under the different tenets of health literacy. Health literacy extends beyond the individual level and effects the whole family and communities; intervention need to extend to include community connections and involvement activities. Future research needs to focus on the long-term effects of critical health literacy among immigrant communities.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".