MétaCan
Menu
Back to cohort
Record W2625385588 · doi:10.15405/epsbs.2017.06.7

Differences On The Upper Quarter Y Balance Test Among Young People

2017· article· en· W2625385588 on OpenAlexaboutno aff
Elena Sabau

Bibliographic record

Venue˜The œEuropean Proceedings of Social & Behavioural Sciences · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsAnalysis of varianceBalance (ability)StatisticTest (biology)Repeated measures designUpper limbAge groupsQuarter (Canadian coin)Physical therapyMedicineMathematicsPhysical medicine and rehabilitationPsychologyDemographyStatisticsBiology

Abstract

fetched live from OpenAlex

Upper Quarter Y-Balance Test is a closed kinetic chain assessment of upper quarter mobility and stability using a functional testing device. We started with the question: Are there significant differences in the bilateral upper limbs UQYBT results, recorded by the subjects engaged and not engaged in recreational physical activities? The study identifies bilateral movement limitations and asymmetries in active and not-active young people on shoulder stability and mobility as a closed kinetic chain upper extremity. The subjects are 93 young students (45 females and 48 males), 22.19 average age. They are organised in four groups: not-active and active (females and males). UQYBT is applied on all four groups of subjects. Mathematics methods as One Way ANOVA for Dependent samples and Post ANOVA Tukey HSD Test were used to identify the significant statistic differences between groups. The comparative analysis between active versus not-active groups suggests not significant statistic differences for males. For the female groups, there are not statistically significantly differences, with a few exceptions. There were statistically significantly differences, to benefit the active group, for the right upper limb (SL direction) and for the left upper limb (IL direction). The main conclusion is that UQYBT may be useful in assessing functional deficit in upper extremity stability.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0030.000

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 head0.040
GPT teacher head0.298
Teacher spread0.257 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venue˜The œEuropean Proceedings of Social & Behavioural SciencesSame topicShoulder Injury and TreatmentFrench-language works237,207