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Record W339590467

Groeipatrone by seuns tydens mid-adolessensie : 'n longitudinale studie van antropometriese veranderinge

2015· article· en· W339590467 on OpenAlexaboutno aff
Barry Gerber, Anita E. Pienaar, A. Kruger

Bibliographic record

VenueSouth African Journal for Research in Sport Physical Education and Recreation · 2015
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsGrowth spurtSittingAnthropometryArm spanDemographyBody heightAnimal scienceMedicineBody weightBiologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

This study analysed the growth profiles stature, mass, arm span, sitting height and sitting-height-ratio of boys during the growth spurt within the mid-adolescent phase. A convenience sample of 73 Grade 8-10 boys (13.58-15.57 years) participated. Measurements were repeated three times annually, four months apart and sitting height ratio was calculated (sitting height/stature X 100). Protocols of the International Standards for Anthropometric Assessment (ISAK) and the Canadian Sports for Life were applied. Repeated measures over time ANOVA with a Bonferonni post hoc correction was use to analyse the data. The most significant increases (p=0.000) in stature, mass, arm span and sitting height occurred between 13.58 and 14.58 years while sitting-height-ratio showed the greatest change (p=0.002) between 14.58 and 15.57 years. Stature, mass and arm span exhibited parallel development up to 15 years after which further development levelled off, while no levelling off occurred in mass increase. The boys in this study entered the growth spurt in height on average prior to 13.58 years, but significant anthropometrical, motor and physical changes still occurred during their first year of high school (Grade 8), where high individual variability in growth changes were still evident.

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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.106
GPT teacher head0.426
Teacher spread0.320 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueSouth African Journal for Research in Sport Physical Education and RecreationSame topicChildren's Physical and Motor DevelopmentFrench-language works237,207