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Record W2074031961 · doi:10.1080/21520704.2013.785453

“Focus on What?”: Applying Research Findings on Attentional Focus for Elite-Level Soccer Coaching

2013· article· en· W2074031961 on OpenAlexaffabout
Rafael Ab Tedesqui, Brittany A. Glynn

Bibliographic record

VenueJournal of Sport Psychology in Action · 2013
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoachingPsychologyFocus (optics)EliteApplied psychologySport psychologyCognitive psychologyElite athletesAthletesPsychotherapistPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

Despite increased publications on the topic of mental skills (i.e., over 1,200 peer-reviewed papers published in the last 20 years), minimal knowledge is translated into practical guidance for coaches. Expressions such as “Pay attention” and “Focus” are frequently heard in coaching, yet the meaning of these phrases is not easily understood nor applied. Therefore, we aim to help elite-level soccer coaches better understand what it means to pay attention and focus, while providing practical suggestions to improve athletes’ abilities to focus, refocus, minimize distractions and instances of choking, and forget about performance mistakes while in the moment.

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)0.024
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0030.005
Scholarly communication0.0090.007
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.212
GPT teacher head0.477
Teacher spread0.265 · 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 designNot applicable
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

Citations10
Published2013
Admission routes2
Has abstractyes

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