Things Fall Apart: The Dynamics of Brand Audience Dissipation
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
Much prior work illuminates how fans of a brand can contribute to the value enjoyed by other members of its audience, but little is known about any processes by which fans contribute to the dissipation of that audience. Using longitudinal data on America's Next Top Model, a serial brand, and conceptualizing brands as assemblages of heterogeneous components, this article examines how fans can contribute to the destabilization of a brand's identity and fuel the dissipation of audiences of which they have been members. This work suggests that explanations focusing on satiation, psychology, or semiotics are inadequate to account for dissipation in the audience for serial brands. Moreover, the perspective advanced here highlights how fans can create doppelgänger brand images and contribute to the co-destruction of serial brands they have avidly followed.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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