Bibliographic record
Abstract
For the past several years, a crisis over copyright and control of music distribution has been developing. The outcome of this crisis has tremendous implications not only for the fate of commercial and creative entities involved in music, but for the social reproduction of knowledge and culture more generally. Critical theories of technology are useful in addressing these implications. This chapter introduces the concept of “concretization” (Feenberg, 1999), and demonstrates how it can be mapped onto the field of current music technologies and the lives and work of the people using them. This reading of popular music technologies resonates strongly with themes arising out of current scholarship covering the crisis of copyright and music distribution. Reading music technology in this way can yield a lucid account of the diverse trajectories and goals inherent in heterogeneous networks of participants involved with music technologies. It can also give us not only a detailed description of the relations of various groups, individuals, and technologies involved in networks of music, but also a prescriptive program for the future maintenance and strengthening of a vibrant, perhaps less intensively commercialized, and radically democratized sphere of creative exchange.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".