MétaCan
Menu
Back to cohort
Record W4411656663 · doi:10.51847/j9gtvp4qxx

10.51847/j9GtVP4Qxx

2000· article· en· W4411656663 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsResistance trainingPeriod (music)Strength trainingMuscle strengthResistance (ecology)Training (meteorology)Physical medicine and rehabilitationPsychologyPhysical therapyMedicineBiologyPhysics

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effects of resistance training and nutritional knowledge on muscle strength and body composition indices of non-athletic female students.32 non-athlete female students of Islamic Azad University of Rasht.The variables were re-measured after 8 weeks of resistance training.The Kolmogorov-Smirnov test was used to check the distribution of data.Furthermore, a correlated t-test was used to compare the variables in the pre-test and post-test (intra-group changes); ANOVA and Tukey post hoc tests were used to compare the changes between the groups.Data analysis was performed using SPSS software at a significant level of p0.05.The results of this study showed that muscle strength in training groups was significantly increased; this increase was higher in resistance training group with nutritional knowledge.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.610
Threshold uncertainty score0.240

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)1.0000.997

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 head0.392
Teacher spread0.352 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueTime to knitSame topicSports and Physical Education ResearchFrench-language works237,207