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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 OpenAlex
Erik L. Lachance, Ashley Thompson, Jordan T. Bakhsh, Milena M. Parent

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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