MétaCan
Menu
Back to cohort
Record W9459525 · doi:10.1007/s004210050303

The Effect of Attentional Focus on Pass Accuracy and Relative Timing In a Soccer Passing Task among Novice Players

2011· book· en· W9459525 on OpenAlexaff
Golbon Moltaji

Bibliographic record

VenueUMI eBooks · 2011
Typebook
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTask (project management)PsychologyFocus (optics)Cognitive psychologyCognitionAutomaticityPopularityPhysical medicine and rehabilitationSocial psychologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

The rational for this study comes from previous investigations focused on suprapostural tasks that assessed the effect of lower limb manipulation or cognitive tasks on posture. Despite soccer's widespread popularity, there seems to be a lack of investigation on the effect of attentional focus on soccer skills. The present study assessed the effect of attentional focus on a pedal suprapostural (soccer) task on pass accuracy and stance and kicking legs' relative timing. It was hypothesized that inducing external focus of attention would result in superior suprapostural performance defined as higher accuracy and lower errors. The results did not support the hypothesis; however, it is believed that discreteness of the task, short duration of practice and rate on interventions caused instructions not to be effective on soccer wall pass. It is suggested future studies will hold more practice with more trials involved in order to reveal the effects of attentional focus condition on similar tasks.

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)0.000
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueUMI eBooksSame topicSport Psychology and PerformanceFrench-language works237,207