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Record W2004788856 · doi:10.5539/ies.v1n3p30

Understanding of Competitive Sports Conducted by School Under the New Curriculum Standard

2008· article· en· W2004788856 on OpenAlexvenueno aff
Housheng Zhang

Bibliographic record

VenueInternational Education Studies · 2008
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPhysical educationPsychologyCompetitive advantageProcess (computing)Mathematics educationSport managementCurriculum developmentField (mathematics)PedagogySociologyMarketingPublic relationsBusinessPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Because some teachers and the leaders as well as many sports theorists have some conceptual misunderstanding of competitive sports conducted by school, there’re some differences of opinions about competitive sports in physical education field, it would have a negative effect on the development of competitive sports in school. This essay is mainly on the basis of the new curriculum standard, which analyzes competitive sports conducted by school from three aspects such as concept, classification, process of systematization, it makes a conclusion: the competitive sports is formal, semi-formal or informal one that has take the school practical situation into consideration, it conforms to the basic idea of the curriculum of sports and the health curriculum, the requirement of teaching content as well as the needs of development in body and mind.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.002
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 head0.292
GPT teacher head0.525
Teacher spread0.234 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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