Review of: Moritz Ege (2013), »Ein Proll mit Klasse«: Mode, Popkultur und soziale Ungleichheiten unter jungen Männern in Berlin, and Roberto Camargos (2015), Rap e Rap e Política: Percepções da vida social brasileira
Bibliographic record
Abstract
This review covers two books on a similar subject, but in different socio-economic contexts. Both deal with the subculture of rap and hip hop, albeit from different theoretical and methodological backgrounds. Moritz Ege's work Ein Proll mit Klasse: Mode, Popkultur und soziale Ungleichheiten unter jungen Mnnern in Berlin (A Prole with Class: Fashion, Pop Culture and Social Inequalities among Young Men in Berlin) is an ethnographic cultural analysis of Berlin's male sub-proletariat of the early 2000s. It is thereby situated in one of the centres of the Global North, where deindustrialisation and the precarisation of the workforce led to a dramatic increase of social exclusion (Bude and Willisch, 2008; Castel and Drre, 2009). Roberto Camargos' Rap e Poltica: Percepes da vida social brasileira (Rap and Politics: Perceptions of Brazilian Social Life) is methodologically based on conceptions of "history from below" (Camargos, p. 28) and deals with the emergence and development of politically engaged rap from the Brazilian peripheries from the 1980s to the mid-2000s. Thus Camargos writes about cultural politics (Alvarez, Dagnino and Escobar, 1998) of the marginalised in one of the most unequal countries in the Global South. Differing from Germany, Brazilian exclusion has its roots in slavery and has affected a majority of the population throughout history.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.020 |
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".