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Record W2906416874 · doi:10.14288/hfjc.v11i1.247

Preterm birth and childhood gross motor competence

2018· article· en· W2906416874 on OpenAlexaffabout
Beth M M Rizzardo, Shannon S. D. Bredin

Bibliographic record

VenueOpen Collections · 2018
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGross motor skillMotor skillCompetence (human resources)MedicineMovement assessmentMilestonePopulationPremature birthDevelopmental psychologyPhysical medicine and rehabilitationPsychologyPediatricsGestational agePregnancyEnvironmental health

Abstract

fetched live from OpenAlex

The high rates of preterm birth in countries such as Canada are a concern, as evidence suggests that children born preterm are at risk for a number of complications, including delays in motor development. Such delays may be due to immaturity and/or damage to the nervous system at birth, as the central nervous system plays an integral role in motor proficiency. In particular, children born early preterm consistently demonstrate lower gross motor profiency in childhood. While some children may exhibit motor milestone delays early in development, research suggests that motor deficits may not emerge in some preterm children until the years of school entry or beyond. Increased awareness of potential motor issues, referral networks to qualified movement specialists, and the accurate identification of motor delays is critical for early and timely intervention. Therefore, the purpose of this article is to discuss the research related to gross motor proficiency of preterm children, highlighting the critical role of movement specialists and the importance of movement-based monitoring and instruction in the preterm 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.262
Teacher spread0.248 · 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.

Study designNot applicable
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

Citations1
Published2018
Admission routes2
Has abstractyes

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