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Record W1542851649 · doi:10.1123/jsm.25.4.354

Ambush Marketing and the Right of Association: Clamping Down on References to That Big Event with All the Athletes in a Couple of Years

2011· article· en· W1542851649 on OpenAlexaffabout
Teresa Scassa

Bibliographic record

VenueJournal of Sport Management · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLegislationAmbush marketingTrademarkEvent (particle physics)FootballTrademark infringementStatuteAthletesAdvertisingPolitical scienceAssociation (psychology)LawPublic relationsBusinessPsychologyMedicine

Abstract

fetched live from OpenAlex

Ambush marketing activities—such as advertisements that obliquely reference a major event—have frustrated major sport event organizers and sponsors for years. Nevertheless, these activities, so long as they stopped short of trademark infringement or false advertising, have been perfectly legal. In the last decade, major sport event organizers such as the International Olympic Committee and the Fédération Internationale de Football Association have pressured national governments to pass legislation prohibiting ambush marketing as a condition of a successful bid to host an event. Such legislation has already been enacted in the United Kingdom, Canada, South Africa, Australia, and New Zealand, and the statutes in these jurisdictions reveal an emerging right of association . In this paper, the author surveys the evolution of this right and its key features. She offers a critique of this right, and argues that the need for it has never been properly established, and that the legislation is overly broad, does not reflect an appropriate balancing of interests, and may infringe upon the freedom of expression.

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)0.006
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 score0.115
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
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 head0.034
GPT teacher head0.262
Teacher spread0.228 · 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

Citations43
Published2011
Admission routes2
Has abstractyes

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