Hip-Hop et pauvreté : entre résistance culturelle et créativité économique
Bibliographic record
Abstract
Dans la ville de Québec, la culture hip-hop permet de mettre en lumière les acteurs qui proviennent de milieux défavorisés et de l’immigration. À partir de textes de rap et d’entrevues avec des rappeurs, des entrepreneurs producteurs de hip-hop et leurs proches réalisées dans le cadre d’une recherche ethnographique, j’analyse comment de jeunes immigrants noirs utilisent le hip-hop et l’entrepreneuriat culturel comme une stratégie de contestation et de résistance face à la pauvreté et aux discriminations auxquelles ils sont confrontés. Selon une approche intersectionnelle (Hall,1980a; Crenshaw, 1994; Chauvin et Jaunait, 2015), cette étude met en lumière comment des propriétés originellement marginalisantes (race, lieu de résidence et dispositions sociales) peuvent être converties en des potentiels légitimés.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".