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Record W4385666189 · doi:10.1080/14413523.2023.2243109

Sport management or the management of sport? Reframing the theory debate

2023· article· en· W4385666189 on OpenAlexaff
Erik L. Lachance, Ashley Thompson, Jordan T. Bakhsh, Milena M. Parent

Bibliographic record

VenueSport Management Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of OttawaBrock University
Fundersnot available
KeywordsCognitive reframingSport managementCredibilitySociologyPerspective (graphical)Field (mathematics)Body of knowledgePublic relationsManagementPolitical sciencePsychologyLawSocial psychologyComputer science

Abstract

fetched live from OpenAlex

As a field, sport management is arguably divided into two perspectives related to theory: sport management or the management of sport. This division hinders the development and credibility of the field in the broader academic community. Thus, we adopt a perspective style of theorizing to critically discuss and reframe the sport management theory debate, suggesting an integrated perspective in the process. Each perspective’s central tenets, supporting arguments, and contentions are presented. The Sport-Management Theory Development Framework is proposed, which combines each perspective and includes four main facets: the what; the how; the why; and the who, when, and where of sport management research. Sport management scholars can use the proposed conceptual framework to critically appraise and advance research to establish a credible body of knowledge in sport and beyond. The framework allows the field’s existence to be defended according to its distinct knowledge, thus demonstrating its value in academia.

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)0.029
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.006
Science and technology studies0.0040.024
Scholarly communication0.0160.022
Open science0.0040.006
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.346
Teacher spread0.305 · 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 designTheoretical or conceptual
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

Citations6
Published2023
Admission routes1
Has abstractyes

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