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Record W2373072371

Advantage Sports Events of Sports Powers at Winter Olympic Games

2011· article· en· W2373072371 on OpenAlexaboutno aff
Meng Cao

Bibliographic record

VenueShenyang Tiyu Xueyuan xuebao · 2011
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsDelegationAdvertisingPolitical scienceBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

Displaying advantage sports events is the main way for each Winter Olympic delegation to win medals,and is the strategic basis of becoming the athletics sports powerful nation.By reviewing the results which each athletics sports powerful nation obtains during the 19-21st nearly three Winter Olympic Games and the comparative analysis of the advantage sports' characteristics which each athletics sports powerful nation possesses can we draw the following conclusions:Germany,the US,Canada,Norway make up the first group of the Winter Olympic Games.They have the overall superiority in the advantage sports with the results stable,and they are also prominent in the overwhelming advantage sports and the space for sustainable development is large.A total of nine countries including Russia make up the second group of the Winter Olympic Games.They present us with the characteristics that they possess much fewer chances of winning the gold medals than the first group and the advantage sports of partial countries show comparative single feature.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0080.000

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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.

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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