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Record W7063747621

The accuracy of parental reporting of preschoolers' dietary intake using an online self-administered 24-hour recall

2016· dissertation· en· W7063747621 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2016
Typedissertation
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRecallFood intakeProxy (statistics)Portion sizeData collectionPhysical activity
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the current study was to assess the criterion validity of ASA24-Canada (an online automated self-administered 24-hour dietary recall) for capturing dietary intake among children aged 2 to 5 years (n=40) using parental proxy reporting. The study was conducted in a daycare setting, where parent-reported intake was compared to true intake for three meals. On average across all eating occasions, 79% of the foods consumed by the children were reported by the parents as exact or close matches. Although parents could accurately identify the food/beverage items their children consumed, they significantly overestimated total energy, most nutrients and portion size intakes. The findings of this research suggest the parent-reported ASA24 can allow for the collection of reliable sources of information about food/beverage items children consume; however, further research and improved portion size estimate techniques are needed to ensure that comprehensive intake data is provided.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.061
GPT teacher head0.273
Teacher spread0.211 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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