Bibliographic record
Abstract
Stax Records was a record label based in Memphis, Tennessee from the late 1950s through December 1975, when it was forced into involuntary bankruptcy. "So You Want to Be a Rock and Roll Scholar — Well You Need to Get an MBA" uses Stax Records as a case study to problematize what has often been a tendency within popular music scholarship to attempt to understand the political economy of the record industry primarily via the mechanical application of Marxist theory on a macro level. In looking in detail at the relationship between CBS Records and Stax from 1972 through 1975, the author concludes that to fully understand the nature of the distribution agreement between the two companies, its ramifications, and the consequent subsequent actions of the various principals involved, all of which eventually led to Stax's bankruptcy, one needs to take into account on a micro level the different modi operandi of independent and major labels, differences in the retail world of black and white America, and individual agency. Finally, all of the above needs to be considered very specifically within a temporal framework. The final conclusions prove to be significantly different from what would have resulted from solely from a Marxist analysis on a macro level.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".