From Seven Years to 360 Degrees: Primitive Accumulation, the Social Common, and the Contractual Lockdown of Recording Artists at the Threshold of Digitalization
Bibliographic record
Abstract
This article examines the apparent paradox of the persistence of long-term employment contracts for cultural industry ‘talent’ in the context of broader trends toward short-term, flexible employment. While aspirants are numberless, bankable talent is in short supply. Long-term talent contracts appear to embody a durable axiom in employment: labor shortage favors employees. The article approaches this axiom through the lens of recent reconsiderations of the concept of primitive accumulation. In the case of employment, this concept highlights employers’ impetus to transcend legal and customary barriers to and limits on their capacity to capture and compel creative labor, and to appropriate the products of contracted creative labor. The article supports this argument through the analysis of contests between Los Angeles-based recording artists and record companies over the California and federal laws that govern their power and property relations. These struggles reveal a pattern of attempts by record companies to overcome or change laws that limit their power to control, compel and dispossess recording artists. The article suggests that as contractual forms change under digitalization, familiar political dynamics continue to characterize the relationships between recording artists and the companies that depend on their labor and output.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.032 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".