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Record W2043189610 · doi:10.1504/ijsmm.2005.007123

Globalisation and the evolving player-agent relationship in professional sport

2005· article· en· W2043189610 on OpenAlexaff
Daniel S. Mason, Gregory H. Duquette

Bibliographic record

VenueInternational Journal of Sport Management and Marketing · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAllegianceAthletesAgency (philosophy)GlobalizationContext (archaeology)Public relationsRepresentation (politics)Professional sportPrincipal (computer security)MarketingSports marketingSport managementPrincipal–agent problemBusinessPolitical scienceSociologyLeaguePoliticsSocial scienceLawRelationship marketingFinanceCorporate governance

Abstract

fetched live from OpenAlex

The purpose of this paper is to examine player representation in professional sport within the context of broader changes in the global market. Following an overview of agency theory and the traditional role fulfilled by agents on behalf of players, we review how changes have impacted players and agents in professional sports. These include: the increasing importance of endorsements; the increasing presence of transnational agencies; a growing allegiance for athletes toward the corporations that sponsor them; the mobility of labour and rise of "borderless athletes"; the emergence of athletes whose incomes are generated as much by their marketability as their playing talent. We then discuss the implications these changes have for the player-agent relationship in terms of the traditional principal-agent relationship proposed by agency theorists, and suggest that the bond between player and agent has been eroded by agents' relationships with sponsoring corporations.

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)0.005
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 score0.214
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.019
GPT teacher head0.313
Teacher spread0.294 · 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

Citations11
Published2005
Admission routes1
Has abstractyes

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