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Record W2376055284

Analysis on International Research Focus and Frontier on Students' Physical Fitness

2014· article· en· W2376055284 on OpenAlexaboutno aff
Fan Li

Bibliographic record

VenueShoudu Tiyu Xueyuan xuebao · 2014
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical fitnessFrontierPhysical sciencePsychologyFocus (optics)Statistical analysisApplied psychologyMathematics educationMedical educationGerontologyMedicinePolitical sciencePhysical therapyMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

Through scientific statistical analysis of the document database of literature citations during2003—2012from the Web of Science themed in students' physical fitness,the present thesis sets to analyze the current research focus and frontier in the field of students' physical fitness around the world.The results show that most of the international research groups in students' physical fitness are in universities,with most groups in the United States and Canada;that the influential researchers include T.J.Cole,William,J.F.Sallis,Baron and so on;that the international research focus on students' physical fitness includes factors affecting students' physical fitness,and the manifestations and interference measures of students' physical fitness decline through keywords co-occurrence analyses;that the research frontier includes empirical studies in the effect of healthy diet,proper nutrition and proper physical exercise on students' physical fitness.

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)0.018
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0540.083
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.138
GPT teacher head0.567
Teacher spread0.429 · 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.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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