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Record W2147778643 · doi:10.1123/tsp.23.3.330

Perceptions of Cohesion by Youth Sport Participants

2009· article· en· W2147778643 on OpenAlexaff
Mark Eys, Todd M. Loughead, Steven R. Bray, Albert V. Carron

Bibliographic record

VenueThe Sport Psychologist · 2009
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsMcMaster UniversityWestern UniversityUniversity of WindsorWilfrid Laurier University
Fundersnot available
KeywordsConceptualizationCohesion (chemistry)PsychologyGroup cohesivenessSocial psychologyPerceptionFocus groupSociologyComputer science

Abstract

fetched live from OpenAlex

Cohesion is an important small group variable within sport. However, the conceptualization and examination of cohesion have predominately been oriented toward adult populations. The purpose of the current study was to garner an understanding of what cohesion means to youth sport participants. Fifty-six team sport athletes (Mage = 15.63 ± 1.01 years) from two secondary schools took part in focus groups designed to understand participants’ perceptions of (a) the definition of cohesion and indicators of cohesive and noncohesive groups and (b) methods used to attempt to develop cohesion in their groups. Overall, the responses to part (a) yielded 10 categories reflecting a group’s task cohesion and 7 categories reflecting a group’s social cohesion. Finally, participants highlighted eight general methods through which their groups developed cohesion. Results are discussed in relation to a current conceptualization of cohesion and affiliation considerations within a youth sport environment.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.369
Teacher spread0.319 · 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
Published2009
Admission routes1
Has abstractyes

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