Bibliographic record
Abstract
The study of Francophone hip-hop through its street art, music, and dance includes a vast array of cultures, countries and nations where French remains an important language. This subject also allows for the exploration of diversity, race, gender, ethnicity, sub- and counter-cultures, identity, and intersectionality. Moreover, although this course was taught at the 300-level in Fall 2019, it is certainly adaptable to lower levels. The content is presented in three units proceeded by an introduction. Introductory material includes the US documentary Rubble Kings (USA), the music video Apeshit shot by Beyoncé and Jay-Z in the Louvre, and two articles devoted to the emergence of hip-hop in France (which happens to be second only to the US in terms of its venerability). Unit 1 explores street art from several points of view including micro- versus macro-politics, spontaneity (and illegality) versus institutionalization, and art for art’s sake (alterity). We look specifically at street art found in the Maghreb, in France, Montreal, and Haiti. We also critique street art tourism that has been gaining popularity in many urban spaces. Unit 2 explores hip-hop dance and seeks to investigate such questions as influences, the function of the battle, and types of hip-hop dance and its offshoots. Unit 3 delves into rap music. This part of the course clearly allows for interesting linguistic explorations of slang, localisms, and verlan on the one hand, and of poetic devices on the other, for rappers often see themselves as subversive agents, as well as poets. We move from protest rap to mainstream rap in France, Quebec, Senegal, Belgium, Algeria, and Gabon. In all three units, both male and female artists are included raising issues such as misogyny and homophobia. This course is interdisciplinary inasmuch as our theoretical readings include academic articles written by sociologists, ethnologists, musicologists, and historians, as well as pieces written by journalists, critics, and the artists themselves. Given that hip-hop culture is virtually universal, a course such as this highlights Francophone transnationalism without ignoring the local particularities that support cultural sustainability. It thereby affirms the many values that we seek to promote in the French-language classroom.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".