Consumer Consumption and Advertising Through Sport
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it