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Record W2592823373 · doi:10.1177/1747954117694923

Friend, foe, or both? A retrospective exploration of sibling relationships in elite youth sport

2017· article· en· W2592823373 on OpenAlexaff
Kendra Nelson Ferguson, Leisha Strachan

Bibliographic record

VenueInternational Journal of Sports Science & Coaching · 2017
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of ManitobaWestern University
Fundersnot available
KeywordsSiblingElitePsychologySibling relationshipDevelopmental psychologyAthletesDivergence (linguistics)Observational studyCompetition (biology)EcologyMedicine

Abstract

fetched live from OpenAlex

With the abundance of literature focusing on parental influence in sport, it is important to identify family dynamics that extend beyond parents to include siblings. In this study, sibling influence was explored through retrospective interviews with former elite youth female athletes (N = 4) and their sibling (n = 4) of the same sex who participated in the same sport. The purpose was to discover how siblings influence high performance sport participation. Two categories emerged from the data: positive experiences participating in the same sport (e.g. growth of relationship, development of understanding) and negative experiences participating in the same sport (e.g. sibling competition, emotional response). The participants’ descriptions coincide with observational learning and both deidentification and divergence processes. The data adds to the probable sibling experiences proposed in the Developmental Model of Sport Participation and provides insight on managing sibling relations in sport. Implications and practical applications of these findings are discussed.

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)0.002
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.094
GPT teacher head0.372
Teacher spread0.278 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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