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Record W4321511745 · doi:10.20338/bjmb.v16i4.300

Quiet eye training alleviates the yips in golf putting: a research proposal

2022· article· en· W4321511745 on OpenAlexaff
Joan N. Vickers

Bibliographic record

VenueBrazilian Journal of Motor Behavior · 2022
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsQUIETAnxietyPhoneEliteApplied psychologyPsychologyTraining (meteorology)Physical medicine and rehabilitationPhysical therapyMedical educationMedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

A case study is presented of a professional golfer (AB) who in her 13th LPGA season suffered from the psychological form of the YIPS. She had increased anxiety about her technique and eye movements that made focusing difficult. After a quiet eye (QE) training program she overcame the YIPS and had her 2nd best season. However, her improvement was temporary for reasons that may have been due to how the treatment was delivered. Due to the pandemic, she was given a QE training program that used email, phone calls, videos showing the quiet eye of elite golfers, counseling, and research papers. Her QE and coupled stroke kinematics were not recorded, as normally occurs, thus the paper concludes with suggestions for a QE training program that may lead to permanent improvements in golf or other sports where this stressful disorder occurs.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, 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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.121
GPT teacher head0.429
Teacher spread0.307 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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