Bibliographic record
Abstract
This paper examines the aftermath of Nike’s advertising campaign “Dream Crazy”, featuring polarizing ex-NFL player Colin Kaepernick. Nike’s choice to feature Kaepernick was a groundbreaking one, as Kaepernick was at the forefront of the Black Lives Matter movement. However it was also contradictory, in terms of it being driven by achieving profits and brand recognition. “Dream Crazy”' was also hypocritical when contrasted with Nike’s previous brand actions, proving that their actions were more disingenuous than they appeared. This paper uses theoretical concepts such as media framing, hegemony and racial capitalism and applies a case study approach to the launching of “Dream Crazy” to evaluate Nike’s actions as a brand. Through this analysis, it is found that despite appearing as a brand siding with advocating for justice, Nike’s actions are more self-serving, rather than selfless. Compared and contrasted with other brands, it is made evident that Nike capitalized on Kaepernick’s activism. As more and more brands adopt activism as a marketing tactic, it is integral that they remain sincere with their actions, as power dynamics have shifted from corporation to consumer. 
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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".