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Record W201479471 · doi:10.1177/183693910302800408

Fundamental Movement Skills: Teachers' Perspectives

2003· article· en· W201479471 on OpenAlexaff
Marie Martin, Beth Hands

Bibliographic record

VenueAustralasian Journal of Early Childhood · 2003
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsCompetence (human resources)Early childhoodMovement (music)PsychologyEarly childhood educationPedagogyMathematics educationMedical educationDevelopmental psychologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

The place of explicit movement skill development programs in early childhood settings is contentious. However, given the growing understanding that movement competence is important for maintaining an active and healthy lifestyle (Hands, Parker & Larkin, 2001), well planned and effective programs specifically designed for young children are important. In this paper, the influence of a new teaching resource designed to support teachers in implementing a fundamental movement skill program is presented using a case study approach. The case studies were constructed with teachers working in a range of early childhood settings. The impact of the program on teachers' level of confidence, knowledge of fundamental movement skills, and personal physical activity level is presented. The information was gathered using a structured self-reflection process including a journal, group meetings, individual face-to-face interviews and a final written evaluation. The findings indicate an increase in teacher confidence and knowledge but no impact on personal physical activity level.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0060.008
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0030.006
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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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 designQualitative
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

Citations9
Published2003
Admission routes1
Has abstractyes

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