Reproducing Inheritance: How the Country Music Association’s Award Criteria Reinforce Industry White Supremacy Capitalist Patriarchy
Bibliographic record
Abstract
ABSTRACT In May 2020, the Country Music Association (CMA) announced changes to criteria for Single of the Year category. Instead of reaching the Top 50 of Billboard’s and Country Aircheck’s charts, the new criterion requires that a song reach the Top 10 to be eligible for nomination. While narrowing the chart positions was done to “diversify” nominations—decreasing the number of eligible songs by men to increase opportunity for (white) women—the revised criterion puts extra burden on Black, Indigenous, and artists of color, especially women, who have historically been disadvantaged by industry practices. Drawing on Sara Ahmed’s (2014) work on the relationality of citational practices, this article reflects on the ways in which data reinforces what bell hooks (2006) terms white supremacist capitalist patriarchal values that have governed the country music industry for nearly a century.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".