Bibliographic record
Abstract
Over a century and a half since his passing, scholars remember Gustave Courbet (1819–1877) as a French painter who expanded the boundaries of art through his rejection of traditionally imposed artistic conventions and cultivation of a larger-than-life persona. As a master of self-promotion and image creation, Courbet’s unique self-positioning and performance of identity are frequently explored within contemporary scholarship. However, extant literature has yet to consider the similarities between Courbet’s performance of identity and that of influential contemporary rap artists. Looking to artistic themes employed by the painter and his self-presentation, I argue that Courbet tailored his identity performance so that audiences conflated his artistic output with his public image, both of which drew upon his rural background to suggest a disadvantaged socioeconomic status—a background lauded by his supporters as providing Courbet with the authenticity required for artistic legitimacy. Furthermore, I argue that contemporary rap artists perform their identity in much of the same manner. Like Courbet, contemporary rap artists continuously enact qualities associated with a low socioeconomic status and reference this social standing in their music to fuse their personal reputation and musical output, which affords these artists the authenticity required for success.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.038 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".