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Record W2079062693 · doi:10.1177/0002764210368079

Consumer Consumption and Advertising Through Sport

2010· article· en· W2079062693 on OpenAlex
Ann Pegoraro, Steven M. Ayer, Norm O’Reilly

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

VenueAmerican Behavioral Scientist · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAdvertisingMaterialismConsumption (sociology)BasketballMarketingProfitability indexFlexibility (engineering)Social mediaBusinessSociologyEconomicsPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The sport industry benefits greatly from its various media partnerships. Sport as a corporate marketing tool provides increased flexibility, broad reach, and high levels of brand and corporate exposure. Many organizations have recognized this potential of sport as a vehicle for accomplishing many of their marketing-related objectives. In turn, this has resulted in significant growth in the sport industry, in particular in its media consumption both online and offline. The purpose of this research—using the NCAA Men’s Basketball Tournament as its sample—was to identify how advertisements contained within both the online and television broadcasts contribute to consumer culture and consumption. Content analysis was used to identify specific tactics related to materialism, maximization, regret, social comparison, and anti-materialism within 144 unique advertisements contained within the broadcasts. Findings include the high prevalence of maximization tactics, a significant correlation between length of ad and the use of materialism tactics (i.e., the longer the ad, the higher the frequency of materialism tactics), and a significant correlation between the use of regret and maximization tactics and fear appeals. It is notable that the use of a spokesperson in an advertisement showed no relationship with the five tactics and no difference was found for the use of the five tactics and medium (television or Internet).

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.026
GPT teacher head0.299
Teacher spread0.273 · 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