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Record W3091935935 · doi:10.1093/eurpub/ckaa166.259

An international lens on food: evaluating barriers to accessing culturally appropriate foods

2020· article· en· W3091935935 on OpenAlexaffabout
Juanita Gnanapragasam

Bibliographic record

VenueEuropean Journal of Public Health · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEthnic groupFocus groupSocializationSustainabilityBusinessConsumption (sociology)Public relationsCultural diversityPsychologyMarketingPolitical scienceSociologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Background Phase one of this study explored how international students' cultural upbringing combined with knowledge of Canadian food landscapes impacted what they eat. The second phase was to develop and pilot programs and supports to help alleviate barriers uncovered in the research. Methods This research was structured as a community needs assessment, where data was collected by conducting semi-structured interviews, surveys and focus groups with newcomer students from various countries. Results Students prefer maintaining their ethnic dietary patterns. Barriers fell into four categories: planning meals, shopping, cooking and consumption. Social support was most effective in reducing barriers for students. In phase two, the major finding was that the most enjoyable aspect of the programming was socialization and making friends not developing food literacy. Conclusions Food is much more than a nutritious substance for international populations, it is an expression of identity, an anchor to community and family and can help with the adjustment process of immigration. As such communities with high international populations should invest time and resources into creating events where international populations can celebrate their food preferences. Replicating ethnic diets in a foreign country is a form of cultural sustainability and is highly valued among international populations. Lack of access to culturally relevant foods, lack of knowledge and lack of food literacy all contributed to creating barriers. Hence, programming that can address these barriers will allow international populations to eat healthier, which allows them to have better health outcomes overall. Creating programming that allows students to express their food identify and experiment with new foods together leads to student empowerment and social support. Social support was seen as the most salient protective factor in international students being able to overcome barriers to eating healthy. Key messages For international populations food is more than a nutritious substance; it identifies them and aids in their adjustment when immigrating. When we create social spaces where individuals are empowered to explore their connection to food we are engaging in cultural sustainability and creating social cohesion in our universities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.179
GPT teacher head0.346
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

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