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Record W2385943172

Comparative Study on Tennis Coaches Training and Certification System between China and Canada

2013· article· en· W2385943172 on OpenAlexaboutno aff
Jiang Mei-ying

Bibliographic record

VenueBulletin of Sport Science & Technology · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationCoachingTraining (meteorology)IncentiveChinaGovernment (linguistics)Management systemTraining systemAthletesBusinessMedical educationMarketingPsychologyOperations managementManagementEngineeringPolitical scienceMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

By using the method of literature review and interview,this paper makes study on tennis coaches trai ning and certification system between China and Canada.The result shows that independent of tennis association,which composed of federal,provincial government and coaches association responsible for coach training and certification system is the biggest characteristic of Canadian macro management.Professor object to the individual needs and age for the training class divide,according to the restrictive technical level access threshold,the coaches of the incentive mechanism of training and coaching again outstanding and business ability training content is Canada tennis coaches training certification system characteristics.In addition,China coaches training and certification in management technology,training course system are in urgent need of improvement.It suggests that tennis departments shall be based on the long-term development of project,coaching undertake unity deployment and planning and to establish a modern technology as the foundation of modern management system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.872

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)0.0000.000

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 head0.045
GPT teacher head0.226
Teacher spread0.181 · 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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

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