“The Mic Is My Piece”: Canadian Rap, the Gendered “Cool Pose,” and Music Industry Racialization and Regulation
Bibliographic record
Abstract
Over the course of the 1980s and 1990s, Black Canadian Rap artists, many of whom are the children of Caribbean-born immigrants to Canada, employed the hyper-racialized and hyper-gendered “Cool Pose” as oppositional politics to intervene in a conversation about citizenship, space, and anti-blackness. Drawing from local and trans-local imaginings and practices, Black Canadian rappers created counter-narratives intended to confront their own sense of exclusion from a nation that has consistently imagined itself as White and rendered the Black presence hyper-(in)visible. Despite a nationwide policy of sameness (multiculturalism), Black Canadian musicians have used Rap as a discursive and dialogical space to disrupt the project of Black Canadian erasure from the national imagination. These efforts provided Black youth with the critically important platform to critique the limitations of multiculturalism, write Black Canadian stories into the larger framework of the nation state, and remind audiences of the deeply masculinized and racialized nature of Canadian iconography. And yet, even as they engaged in these oppositional politics, rappers have consistently encountered exclusionary practices at the hands of the state that have made it increasingly difficult to sustain a Black music infrastructure and spotlight Canadian Rap’s political and cultural intervention.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.055 | 0.033 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".