Masculinity and violence in Kathmandu’s Raw Barz rap battles on YouTube
Bibliographic record
Abstract
Abstract Existing research on global rap has extensively documented the creative appropriation of Western popular music and its potential for progressive politics. Little attention has been paid to exploring the less favorable aspect of this phenomenon — how rap can potentially perpetuate discriminatory societal ideologies. With this concern, the present study aims to examine the darker side of the genre, with a focus on free style rap battles. We present an analysis of representative lyrics and performances from rap battles that took place in Kathmandu, Nepal. In our analysis, we illustrate how the creative use of the language of pop culture, including embodiment, cultural metaphors and rap slang within these battles, serves to perpetuate ideologies related to misogyny, racism, and colorism. Many of these toxic ideologies are already deeply ingrained in Nepali society, while others, including racism, find their way into Nepal through the influence of global rap.
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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".