Bibliographic record
Abstract
This paper examines several trends in Japanese and Japan-related popular music that coincide with the rise and decline of "Gross National Cool," Japan's recent period of heightened foreign consumption of Japanese cultural products. Using two case studies, the music of Utada Hikaru and of Puffy, I argue this period saw Japanese artists shift from attempts to "internationalize" their music to strategies of marked performance of Japaneseness. A third case study examines the role performances of Japaneseness played in the work of the popular American artist Gwen Stefani during this period. Her image at this time involved being constantly flanked by an entourage of her "Harajuku Girls," four women whose visible Asianness served for years to articulate Stefani to the image of Cool Japan. Together, these three case studies explore some of the ways performances of Japaneseness became a strategy for success in transnational popular music between 2000 and 2010.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".