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Record W3196266931 · doi:10.1080/0965254x.2021.1965188

Strategic sport marketing in the society of the spectacle

2021· article· en· W3196266931 on OpenAlex
André Richelieu, Andrew Webb

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

VenueJournal of Strategic Marketing · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsCarleton UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsSpectacleEntertainmentMarketingBusinessAdvertisingSports marketingMarketing strategyValue (mathematics)Strategic marketingStakeholderPublic relationsMarketing managementRelationship marketingPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The representation of reality seems to have gained precedence over reality. In the society of the spectacle, entertainment has become the experience. Accordingly, sport organizations must increasingly provide added value to their fans’ brand experience. Nowadays, entertainment and sport have merged to give birth to ‘sportainment’. Through a polar type of case study, this paper examines how the strategic marketing of, and through, sport can adapt to this reality by proposing a strategic sportainment mix. This study demonstrates that the strategic sportainment mix can provide valuable insights about the theoretical fit between strategic marketing efforts by, or through, sport, on the one hand. This is in addition, on the other, to a stakeholder segmentation that categorizes fans according to their connection with sport in a society of the spectacle. The proposed sportainment mix could boost the fan lifetime value, together with both the customer and financial-based brand equity.

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)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.317
Teacher spread0.247 · 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