Evolving yet contentious transcultural fanscapes: Peruvian fans’ accounts of K-pop and its fandoms
Bibliographic record
Abstract
Global fans’ engagement with K-pop (South Korean pop music) demonstrates how audiences’ daily lives and identities are interwoven with transcultural media. This study explores how global K-pop fan cultures have evolved along with the genre’s expansion overseas, with particular reference to Peruvian fans in the Global South context. Drawing on Peruvian fans’ accounts of the global K-pop fanscapes – the universes experienced and mediated through fan practices, the study addresses the complexities, negotiations, and conflicts in audience engagement with transcultural media. By examining how K-pop fans in a distant locale imaginarily identify with K-pop idols and interact with other global fans and non-fans, the study reveals that local fans may realize their identity in the global fanscapes while being aware of power relations that operate between different audiences.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".