Bibliographic record
Abstract
Diasporic media, though widely discussed theoretically and occasionally ethnographically, are seldom explored with explicit attention to language. “Bollywood” films - feature-length movies produced and distributed in Bombay (Mumbai), India - are an excellent media source through which to examine linguistic anthropological topics of indexicality, bivalency, and identity in diasporic communities. In this paper, I analyze the circulation and consumption of Bollywood films - created in Hindi and subtitled in English - among South Asian-American (desi) communities in both Silicon Valley, CA and Queens, NY. Bollywood films are watched in family and peer groups, and portions of the films’ songs and dialogue become incorporated into everyday speech practices. I present and analyze instances of Hindi film dialogue interwoven into conversational exchanges between desi teens in ways that impact negotiations of style and identity. For many teens, the films provide narrative frameworks, prescripted dialogue, and socially recognizable registers and varieties of affect through which they enact their own dynamics of humor, flirting, conflict, and other types of talk. Drawing on ethnographic and sociolinguistic data, I contrast how these processes vary between these two diasporic communities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.158 | 0.058 |
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 source (direct Gemma or distilled Codex), 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".