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Record W2896846397 · doi:10.1080/01419870.2018.1525496

Does being Roma matter? Ethnic boundaries and stigma spillover in musical consumption

2018· article· en· W2896846397 on OpenAlex
Ioana Sendroiu, Andreea Mogosanu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEthnic and Racial Studies · 2018
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnic groupMainstreamGender studiesSociologyMedia consumptionPopulationConsumption (sociology)MusicalPolitical scienceSocial scienceAnthropologyDemographyArtLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.118
GPT teacher head0.470
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it