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Record W2132011574 · doi:10.3109/17518423.2011.629374

The conductive environment enhances gross motor function of girls with Rett syndrome. A pilot study

2012· article· en· W2132011574 on OpenAlexfundno aff
Meir Lotan, Rony Schenker, Judy Wine, Jenny Downs

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsRett syndromeGross motor skillIntervention (counseling)PsychologyPhysical therapyMotor skillPhysical medicine and rehabilitationReplication (statistics)MECP2MedicineClinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Rett syndrome (RTT) is a neurological disorder usually associated with a mutation in the MECP2 gene. Conductive Education (CE) is an educational approach that has not yet been explored with regard to children with RTT. OBJECTIVE: Assessing functional abilities of individuals with RTT due to CE intervention. DESIGN: A single subject, AB design. method: This study assessed the functional skills of three girls with RTT aged 3-5 years before and during participation in a CE programme. RESULTS: Gross motor function improvements were observed at the end of the intervention period. Gross motor skills declined slightly in all participants over the summer holidays but improved again a few months after recommencement of the educational year. CONCLUSION: Replication of this study with more subjects is justified as is comparison with other educational methods. A home intervention programme should be constructed to prevent decline of skills over the summer vacation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.531

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 studies0.0000.000
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 head0.012
GPT teacher head0.215
Teacher spread0.203 · 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

Citations33
Published2012
Admission routes1
Has abstractyes

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