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Record W2792751561 · doi:10.1123/jsm.2017-0160

A Postcolonial Reading of Representations of Non-Western Leadership in Sport Management Studies

2018· article· en· W2792751561 on OpenAlexaff
Chen Chen, Daniel S. Mason

Bibliographic record

VenueJournal of Sport Management · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
FundersUniversity of Pittsburgh
KeywordsMainstreamIndigenousSociologyReflexivityNarrativePostcolonialism (international relations)Public relationsGender studiesSocial scienceMedia studiesPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

This study examines how leadership in non-Western sporting contexts has been represented in the mainstream (Western) sport management literature. A postcolonialism-informed critical discourse analysis, focusing on the locus of enunciation of each selected representation, reveals the limitations of current mainstream leadership studies in explaining phenomena in non-Western sport contexts and in fostering a comprehensive, multilayered understanding of globalization of sport. Thus, it is imperative to consider what leadership in sport means in local contexts outside the West and having multiple narratives of sport and sport leadership is therefore necessary. To illustrate this, we introduce a discussion of Indigenous leadership perspectives based on studies conducted in Indigenous communities, present ways in which Indigenous Peoples understand leadership differently from the conventional definitions, and suggest some opportunities for research. We conclude with examples in the literature where authors have been theoretically and methodologically reflexive when explaining local issues in peripheral contexts.

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)0.002
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 score0.039
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.129
GPT teacher head0.399
Teacher spread0.270 · 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

Citations32
Published2018
Admission routes1
Has abstractyes

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