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Record W2157646374 · doi:10.1177/1059840510394188

A Growth Status Measurement Pilot in Four Calgary Area Schools

2010· article· en· W2157646374 on OpenAlexaffabout
Julia Johnston, Deborah McNeil, Maureen F. Best, Cheryl MacLeod

Bibliographic record

VenueThe Journal of School Nursing · 2010
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsGerontologyEnvironmental scienceMedicine

Abstract

fetched live from OpenAlex

Reliable measures of growth in children are necessary for planning and evaluating obesity prevention programs. Currently, measured growth data are unavailable in Calgary for school-age children. This single sample, cross-sectional study included Grade 5 students and their parents. Height and weight measurements of 305 students (68% of those eligible) were taken in private in June 2007 and converted to Body Mass Index (BMI) categories. All but one student (99.7%) completed a questionnaire assessing perceptions of the measurement process. Parents received their child's growth data, an information package on healthy eating and active living, additional resources, and a questionnaire. A third of parents completed the questionnaire. Most students (94.1%) reported feeling "OK" or "Happy" about being measured. In addition, 93.2% of parents reported having "Low" or "Neutral" concerns about the measurement. Furthermore, 28.1% of responding parents reported seeking additional resources or considered making a lifestyle change for their family following the pilot. Measurement of students completed in private by nurses was acceptable to participants.

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)0.006
metaresearch head score (Gemma)0.004
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 score0.872
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.052
GPT teacher head0.295
Teacher spread0.243 · 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

Citations15
Published2010
Admission routes2
Has abstractyes

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