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Record W7049001001

Nutrition counselling for at-risk infants and toddlers in an Old Order Amish community in southwestern Ontario

2008· dissertation· en· W7049001001 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2008
Typedissertation
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsnot available
Fundersnot available
KeywordsWastingFailure to thriveMalnutritionGrowth retardationChild developmentPublic healthFolic acidIntervention (counseling)
DOInot available

Abstract

fetched live from OpenAlex

In the Growing Babies Project 1 (GBP1), high rates of failure to thrive (FTT) (34%), stunting (21%), and wasting (21%) were documented in Old Order Amish infants and toddlers based on the Center for Disease Control (CDC) growth references. A follow-up study (GBP2) provided mothers with personal nutrition counselling and dietary intervention for their children every 3 months from 6 to 18 months of age. Compared to GBP1, FTT increased to 48%, stunting and wasting decreased to 16% and 19%, respectively. However, comparison of growth measurements to 2006 World Health Organization growth standards indicated that FTT decreased to just 6%. This suggests that the CDC growth charts were not appropriate for assessing growth status in these children. High prevalence of inadequate dietary intakes were noted for vitamins D and E, folate and zinc. Overall, the mothers found the GBP2 project useful in understanding their children's growth and development.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.213
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2008
Admission routes1
Has abstractyes

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