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Record W3112046497 · doi:10.1080/10413200.2020.1862359

Coincidence and conditions: An in-depth case study of a successful age group within a grassroots football club

2020· article· en· W3112046497 on OpenAlexaff
Niels Nygaard Rossing, Christian G. Mogensen, Mathias M. Pedersen, Luc J. Martin

Bibliographic record

VenueJournal of Applied Sport Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsQueen's University
Fundersnot available
KeywordsGrassrootsClubPsychologyAthletesThematic analysisFocus groupFootballSocial psychologyApplied psychologyQualitative researchSociologySocial sciencePolitical sciencePhysical therapy

Abstract

fetched live from OpenAlex

This case study involved an in-depth exploration of a successful age group within a grassroots football club in Denmark. The research was conducted through observations, informal discussions, semi-structured interviews with parents and coaches, and focus groups with select athletes. Using thematic and dense case study analysis, six themes were generated that varied from being Fortunate Coincidences to Controlled Conditions. The coincidental themes involved the stability of team membership and close physical proximity of members, whereas the conditions included club support? Material help only, coaches as environmental engineers, good players come from good homes, and the power of quality group dynamics and values. Throughout the research process, the research team paid close attention to coincidental features that could have influenced the successful nature of this age group. In considering those coincidental features, it was also important to explore practices undertaken and the roles of the social agents within the age group. This age group was found to demonstrate an inclusive attitude encompassing team unity, respect, and a flat hierarchy. In addition, the coaches promoted a philosophy as early value setters and a development first attitude, which was crucial to the environment described herein. To conclude, although coincidences were acknowledged to be a primary factor in the development and retainment of these youth athletes, this case leveraged the opportunities afforded to them to provide a rich environment for those involved.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.372
Teacher spread0.324 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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