MétaCan
Menu
Back to cohort
Record W2090590684 · doi:10.1177/1524839905278626

Effective Components for Nutrition Interventions: A Review and Application of the Literature

2006· review· en· W2090590684 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Promotion Practice · 2006
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsMichael Smith Health Research BCUniversity of VictoriaCancer Care OntarioUniversity of Toronto
Fundersnot available
KeywordsIntervention (counseling)Psychological interventionSocial cognitive theoryMedicineIntervention mappingNursingGerontologyPsychologyFamily medicineHealth promotionPublic healthDevelopmental psychology

Abstract

fetched live from OpenAlex

A review of the nutrition intervention literature was conducted for Cancer Care Ontario (CCO) to develop a provincial nutrition and healthy body weight strategy. Controlled trials that were conducted between 1994 and 2000 in North America, Europe, Australia, and New Zealand were included. Fifteen interventions were included, 10 of which showed significant intervention effect and 5 reporting negative effect. Elements of effective interventions included theoretical basis, family involvement, participatory planning and implementation models, clear messages, and adequate training and ongoing support for intervenors. CCO applied these practices to design a pilot intervention. Stakeholders participated in the intervention design and tested for clear messaging. Consistent with social cognitive theory, the intervention included activities for children and parents and provided environmental supports such as transportation and child care. Training and support for implementers and evaluators was provided by CCO.

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.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
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 head0.166
GPT teacher head0.577
Teacher spread0.411 · 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