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Record W2187233916

Food Habits of Korean Immigrants Living at Pacific Coast Areas by Length of Residence

2005· article· en· W2187233916 on OpenAlexaboutno aff
Young Sook Park, Susan I. Barr

Bibliographic record

VenueJournal of Community Nutrition · 2005
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceAcculturationImmigrationFood habitsDemographyGeographyGerontologyMedicineEnvironmental healthSociologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

A convenience samples of Korean-Canadian/American adults who lived in Pacific coast areas, were studied in 2000. Total of 130 adults of 37(29%) from Vancouver, 45(35%) from San Jose and 47(36%) from Los Angeles were analyzed by length of residence, as the shorter residence group resided for less than 20 years and the longer residence group resided for 20 years or more. It was observed that the Korean-Canadians/Americans, who resided there for almost two decades, still kept Korean foods and food-patterns very strongly, even though parents’ generation showed less acculturated food patterns than children’s generation. In spite of those practices, they gave high values mostly on their dietary acculturation and on educating their children about diets. However the longer residence group showed slightly less positive acculturation attitudes than the shorter one. Therefore the longer abroad seemed to make immigrants more for their children to keep dietary traditions. It is recommended that length of residence should be considered when planning dietary foodservices at nursing care systems for Korean Canadians/Americans. (J Community Nutrition 7(1 : 36 ~ 41, 2005

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.291
Teacher spread0.261 · 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 designBench or experimental
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

Citations2
Published2005
Admission routes1
Has abstractyes

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