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Record W4394576274 · doi:10.1080/16138171.2024.2335579

Storying surfing coaches’ experiences of life skills development

2024· article· en· W4394576274 on OpenAlexaff
Fernando Santos, Bettina Callary, Nuno Azevedo, Rui Campos, Sebastião Furtado

Bibliographic record

VenueEuropean Journal for Sport and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsCape Breton University
Fundersnot available
KeywordsPsychologyCoachingSociologyPublic relationsSocial psychologyAestheticsAdvertisingBusinessPolitical scienceArtPsychotherapist

Abstract

fetched live from OpenAlex

In the present manuscript we explore three Portuguese surfing coaches' understandings and experiences of their roles and responsibilities concerning life skills development across youth, high-performance and master sport contexts. To achieve this aim, coaches and researchers forged a meaningful partnership over a two-year period, sharing experiences in an open and sincere manner, as well as embracing diversity of thought while rethinking life skills development across coaching contexts. Data collection was conducted through interviews (n = 12) and reflexive journalling. This partnership between researchers and coaches gave voice to coaches concerning athletes' life skills development throughout a range of coaching contexts. These coaches, independent of the coaching context, were influenced by social and cultural forces that made them disregard life skills development and transfer. They were also pressured to value winning and performance development, and positioned the development of life skills as unrealistic coaching pursuits. An interconnected portrait of coaches' roles and responsibilities across coaching contexts may help inform coach development and education programs that consider the diversity of sport programs being delivered in Portugal and elsewhere. Moving forward, more attention may need to be paid towards understanding how cultural, political and social variables influence coaching life skills.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.296
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes1
Has abstractyes

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