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Record W2162277387 · doi:10.4102/sajp.v68i2.12

Validation of the Canadian norms for the Alberta In fant Motor Scale for infants in a South African region aged four to twelve months; a Pilot Study

2012· article· en· W2162277387 on OpenAlexaboutno aff
Alana Manuel, Marlette Burger, Quinette Louw

Bibliographic record

VenueSouth African Journal of Physiotherapy · 2012
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
FundersUniversiteit Stellenbosch
KeywordsPercentileNorm (philosophy)CapeDemographyObservational studyPopulationGross motor skillMedicinePsychologyPediatricsPhysical therapyMotor skillDevelopmental psychologyGeographyEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

The Alberta Infant Motor Scale (AIMS) is a norm referenced,performance based, observational tool that assesses motor developmentin infants from birth up to the age of eighteen months. The AIMS has beenwidely used by researchers and clinicians around the world, but only afew attempts were made to validate the Canadian norms for infants residingoutside Canada.The purpose of the study was to validate the Canadian norms of the AIMSfor infants within the Cape Metropolitan region, South Africa.A longitudinal study was conducted using the AIMS to assess the gross motordevelopment of 67 healthy full term infants at 4, 8 and 12 months respectively.At 4 months the mean percentile ranking was significantly higher than the Canadian norm (p=0.01), while no statisticalsignificant differences were found at 8 and 12 months of age.The AIMS is a valid assessment tool for healthy infants aged 8 and 12 months within the Cape Metropole, SouthAfrica. The infants at four months of age scored higher than the Canadian norm. Further validation which incorporatelarger, random samples are required to enable generalisation of the findings for the South African infant population.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.031
GPT teacher head0.283
Teacher spread0.252 · 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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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