Des figures de style et de l’individualité à la collectivité poétique : perspectives sur l’egotrip et la rivalité dans le rap
Bibliographic record
Abstract
This article examines the notion of egotrip in French rap. While this concept mainly refers to rappers’ tendency to praise themselves (or anything related to themselves), it also includes a fundamental element of rivalry, whereby rappers belittle, denigrate, and invalidate their “competitors.” Two conceptualizations of egotripping are discussed: those of Julien Barret (2008) and Christian Béthune (2003), based respectively on the prominence of phonetic relationships and figures of speech, and on the anchoring of individual rappers in an oppressive cultural context. By attempting to link these theories of egotrip – which are widely used in studies on rap – to a theory of poetic subjectivity, the aim is to explore the artistic, and therefore collective, potential of the rivalry inherent in egotrip, beyond a study of the technicality of language or an affirmation of individuality.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".