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Record W1974781024 · doi:10.1177/1049732309344181

Health Materials and Strategies for the Prevention of Immigrants’ Weight-Related Problems

2009· article· en· W1974781024 on OpenAlexaff
Manuela Ferrari, Stacey Tweed, J Anneke Rummens, Harvey A. Skinner, Gail McVey

Bibliographic record

VenueQualitative Health Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsHospital for Sick ChildrenYork UniversityUniversity of Toronto
Fundersnot available
KeywordsImmigrationFocus groupCultural competenceHealth educationPsychologyPsychological interventionCompetence (human resources)NursingHealth promotionMedical educationMedicineGerontologyPublic healthPedagogySociologySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Existing health education materials dealing with healthy eating, active living, and body image were examined by immigrant parents of elementary school children to determine their relevance, cultural competence, and accessibility. A total of 13 immigrant mothers from Sri Lanka and China participated in a series of three focus groups. Study findings indicate that the present health education materials intended to help prevent weight-related problems could be improved to better meet the needs of new immigrant families. Immigrant mothers who participated in the study expressed their preferences for health education materials and prevention interventions undertaken in a culturally relevant/competent, knowledge-sharing, participatory manner. Acting on these suggestions could help practitioners and public health agencies develop more effective strategies that meet the requirements of ethno-cultural immigrant communities.

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)0.054
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.565
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0540.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
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 head0.518
GPT teacher head0.670
Teacher spread0.152 · 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.

Study designQualitative
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

Citations15
Published2009
Admission routes1
Has abstractyes

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