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Record W2110722122 · doi:10.1123/jsm.25.6.562

Look Who’s Linked With Whom: A Case Study of One Community Basketball Network

2011· article· en· W2110722122 on OpenAlexaffabout
Joanne C. MacLean, Laura Cousens, Martha Barnes

Bibliographic record

VenueJournal of Sport Management · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock University
Fundersnot available
KeywordsBasketballSocial network analysisSocial network (sociolinguistics)Power (physics)Network structureMarketingPublic relationsBusinessKnowledge managementSociologyPolitical scienceComputer scienceSocial capitalSocial scienceGeographyWorld Wide Web

Abstract

fetched live from OpenAlex

The Canadian Sport Policy advocates for increased interaction among sport organizations as a means to create a more efficient and effective system. The purpose of this study was to explore the existence and nature of linkages among a network of community basketball providers. Network theory focuses on the interconnections of organizations by considering the structural, social, and economic bonds of cooperative behavior. Quantitative data were collected via a questionnaire and analyzed using network software UCINET 6 to assess the numbers and types of linkages among a network of community basketball organizations ( n = 10) in one geographical region. Next, in-depth, semistructured interviews were conducted with leaders from the organizations and from their provincial/national governing bodies ( n = 11) to assess the barriers to linkages among these organizations. Results indicated a loosely coupled network, wherein issues of power and dependence, uncertainty, and the lack of managerial structures to initiate and manage linkages prevailed.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.997

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 studies0.0000.000
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 head0.100
GPT teacher head0.307
Teacher spread0.207 · 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 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

Citations48
Published2011
Admission routes2
Has abstractyes

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