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Record W2933131820

Pathways to Expert Performance in Soccer

2019· article· en· W2933131820 on OpenAlexaffabout
David T. Hendry, Nicola J. Hodges

Bibliographic record

VenueNorthumbria Research Link (Northumbria University) · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEliteAthletesPsychologyApplied psychologyDreyfus model of skill acquisitionTeam sportFootballDevelopmental psychologyPolitical scienceMedicinePhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

In sport, deliberate practice theory has significantly impacted research on expertise and what has been known as talent/skill development. A wealth of data shows how practice volume distinguishes across groups that vary in their level of skill attained. This theory has led to models of skill development which vary in their emphasis on early or late engagement in deliberate practice and early engagement in play and diversified sport involvement as compared to practice. Deliberate practice theory has been widely studied in dynamic team sports, such as soccer. Here we review research from work we have conducted over the past six years, based on comparisons of highly elite male and female soccer players. We have evaluated prospectively and cross-sectionally, the developmental activities most related to successful transitions and adult success at the highest level of sport, as well as relations between these activities and technical and tactical skills development and indices of motivation. Our data show that successful, adult elite athletes, in the UK and Canada, are defined by what is termed the early engagement pathway. This is characterized by majority engagement in the chosen sport since early childhood, although not exclusive engagement, and engagement in relatively high volumes of self-directed play, in addition to high volumes of more formal, structured practice. We discuss issues with some of this research, including those related to measurement, and present ideas for future research based against the backdrop of the deliberate practice framework.

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)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0090.015

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 head0.080
GPT teacher head0.349
Teacher spread0.269 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2019
Admission routes2
Has abstractyes

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