Multiculturalism, Diversity and Containment on MuchMusic (Canada) and MTV (US)
Bibliographic record
Abstract
Since MTV and MuchMusic were launched in 1981 and 1984 respectively, both stations have been commended for their racially diverse video repertoires. As Homi Bhabha has observed, however, "multicultural" practices that encourage diversity should also be examined for simultaneous modes of containment and control (Bhabha, "The Third Space," 208). This analysis of both stations' video programming and rotation schedules from late 1995 suggests that as they expanded their repertories they established unique, carefully controlled, nationally-inflected relationships between dominant and marginalized musical traditions. Using examples by Euro-American and African diasporic performers, I explore how multiculturalism appears to be "celebrated" on MuchMusic and MTV while Western and non-Western representations are negotiated such that ethnocentric norms, which pervade North American cultural media, are never contested.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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".