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Record W3097418065 · doi:10.5539/ass.v16n11p1

The Effect of 40 Days Static Stretching After Prayers on Flexibility Among Elderly Muslim Men

2020· article· en· W3097418065 on OpenAlexvenueno aff
Mazlan Ismail

Bibliographic record

VenueAsian Social Science · 2020
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)HajjPsychological interventionStatic stretchingIntervention (counseling)PrayerPsychologyPhysical therapyTest (biology)GerontologyMedicineMathematicsPsychiatryTheology

Abstract

fetched live from OpenAlex

This study was conducted to determine the effect of 5 times static stretching for 40 days on flexibility. A pre-experimental research design was used and the participants comprising 20 sedentary male aged 60 – 64 years of different weight and height participated in this study. They were engaged in 10 minutes of stretching for five times a day (after prayer) for 40 days of interventions. All participants completed the flexibility test before and after the intervention. The results showed that the participants had increased in inches in terms of flexibility after 40 days of intervention. The present study recommends static stretching after prayers (salat) as another approach for elderly people to prepare themselves before and during performing hajj or umrah. Future research may investigate its relationship with the psychological states of the participants and other health related fitness components.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.017
GPT teacher head0.349
Teacher spread0.332 · 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
Published2020
Admission routes1
Has abstractyes

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