Country music and cultural industry: mediating structures in transnational media flow
Bibliographic record
Abstract
As popular music genre, Americanness is one of the things country music signifies. The popular music industries are an integral component of an emerging global media environment, however. What happens to country music when it is in another country? This is a question in two parts. The first asks how local cultural practices interlock with the industrial structures through which generic conventions and taste formations can circulate transnationally. The second asks how this genre is fed back through the institutional channels which are contiguous with national borders. In the context of transnational media flow, increased attention to the role played by the national adjective - here, Canadian country music - can therefore help identify mediating structures and, in the process, point out the role of media policy in cultural industry. State policy as mediating structure is not in itself a useful thing, however. This article theorizes the nation as the site of a state apparatus whose goal is to ensure a space in which cultural producers’ relationships with institutions are not only structured but also structuring - to intervene in the plays of affect and taste which characterize culture’s production, consumption, and the circuit which binds them.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".