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Record W1776955680

Communitas and cohesion on a men's recreational slow pitch softball team in St. John's, Newfoundland and Labrador

2004· dissertation· en· W1776955680 on OpenAlexaboutno aff
Robert John Clarence Dykstra

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2004
Typedissertation
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCommunitasGroup cohesivenessSocial psychologyFriendshipRecreationTeam sportCohesion (chemistry)PsychologyHorseback ridingClubSociologyPolitical scienceAnthropologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Teamwork and cohesiveness are understood to be important elements for sports teams. This research explores the construction of unity on a men's voluntary, nonprofessional, recreational slow pitch softball team in St. John's, Newfoundland and Labrador by linking Victor Turner's concept of communitas with the notion of cohesion in sports psychology. The social and symbolic aspects of egalitarianism are considered throughout. The team is discussed as a form of friendship, while also recognizing that team structure may influence the development of relationships between players. The ways that participants balance discourses of fun and competition are described as key elements relating to the sport and to team identity. Drinking alcohol and uses of humour are also discussed in relation to the expression of meaning within the game and in terms of social interaction among the players.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.174
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.007
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.027
GPT teacher head0.304
Teacher spread0.276 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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