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Record W26112005 · doi:10.1186/s12885-015-1468-6

Использование средств настольного тенниса в процессе физического воспитания студентов

2011· article· ru· W26112005 on OpenAlexfundno aff
Е. А. Захарина, Татьяна Анатолиевна Глоба

Bibliographic record

VenueCyberLeninK (CyberLeninka) · 2011
Typearticle
Languageru
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Cancer InstituteCanadian Institutes of Health Research
KeywordsTest (biology)PsychologyTable (database)Movement (music)Mathematics educationMedical educationPhysical activityAdvertisingMedicinePhysical therapyComputer scienceBusinessBiologyArt

Abstract

fetched live from OpenAlex

The opportunity of the usage of funds of the table tennis is considered during the movement education classes. The authors develop and settle down by experiment the content of the classes with top-priority usage of the funds of table tennis. The influence on the level of the somatic health, the physical fitness and the students' working capacity was defined. In experiment took part 60 students of 1 year studying. Physical activity of students estimated by the test PWC170.

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)0.003
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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.223
GPT teacher head0.407
Teacher spread0.183 · 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
Published2011
Admission routes1
Has abstractyes

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