Does being Roma matter? Ethnic boundaries and stigma spillover in musical consumption
Bibliographic record
Abstract
Manele songs, an updated version of traditional Romani music, are excluded from mainstream Romanian media due to their association with the country’s large Roma minority. The genre is at the intersection between Romania’s democratic transition and growing efforts to strengthen boundaries between the country’s marginalized Romani minority and the non-Romani majority population. But we find that media discussions around manele underscore a fluid relationship between ethnic boundaries and stigmatized cultural consumption. All those who listen to manele are portrayed in negative terms by the media, no matter whether ethnic markers are used as part of the portrayal. In the context of manele, genre-based stereotypes extend beyond ethnic boundaries to assign negative social value to a wide swathe of people who consume the genre. The stigma spillover surrounding manele audiences therefore underlines the ways in which Roma identity is fluid, and anyone associated with the Roma can be relegated to the lower rungs of social status. Manele show how the political process of ethnic boundary-making draws a wide net over those located at the bottom of power hierarchies.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".