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Record W2306668028 · doi:10.1123/apaq.21.2.167

Accuracy of Pedometers and Walking Activity in Adults with Mental Retardation

2004· article· en· W2306668028 on OpenAlexaff
Heidi I. Stanish

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2004
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPedometerIntraclass correlationPhysical activityPhysical therapyAnalysis of variancePhysical medicine and rehabilitationPsychologyMedicineAudiologyDevelopmental psychologyPsychometricsInternal medicine

Abstract

fetched live from OpenAlex

Walking is a common physical activity reported by individuals with mental retardation (MR). This study examined the accuracy and feasibility of pedometers for monitoring walking in 20 adults with MR. Also, step counts and distance walked were recorded for one week. Pedometer counts were highly consistent with actual step counts during normal and fast paced walking on two ground surfaces. Intraclass correlation coefficients were above .95. A t-test revealed no gender differences in walking activity. A 2 × 2 ANOVA indicated that participants with Down Syndrome (DS) accumulated significantly fewer step counts than those without DS and participants walked more on weekdays than weekends.

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)0.001
metaresearch head score (Gemma)0.015
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.022
GPT teacher head0.302
Teacher spread0.280 · 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

Citations55
Published2004
Admission routes1
Has abstractyes

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