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Record W2377573809

Mental Training for the Freestyle Skiing Aerials Team in Preparing for the Vancouver Winter Olympic Games

2013· article· en· W2377573809 on OpenAlexaboutno aff
Zhang Li-wei

Bibliographic record

VenueSport Science Research · 2013
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyTheme (computing)Applied psychologyTraining (meteorology)AthletesControl (management)Face (sociological concept)Computer scienceMedicineSociologyGeographyPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

From December 2008 to February 2010,in the course of helping the freestyle aerials team preparing for the 2010 Winter Olympic Games and grasping the key point of self confidence and self control,the author used the monitoring means of mental test and self-monitoring to start creatively the mental training and psychological consultation in the ways of collective lecture,individual consultation,theme discussion,biofeedback training,theme visit and psychology propaganda.To some extent,this helped the athletes face the difficulties positively,perform excellently in major competitions and enhance cognitive level.Meanwhile,based on the dialectical thought and Chinese culture,a systematic mental training model with the core of self confidence,self control and self development and the target of training and forming good behavior and thinking was established.The article comprehensively sums up the research route,research results and mental training experience of the mental training for the freestyle aerials team preparing for the 2010 Winter Olympic Games.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.078
GPT teacher head0.413
Teacher spread0.335 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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