Understanding the digital music commodity
Bibliographic record
Abstract
This dissertation concentrates on the changing form of the music commodity over the last two decades. Specifically, it traces the transition from music on compact discs to music as a digital file on computers/mobile devices and the economic, industrial, aesthetic and cultural consequences this shift has for how we produce, present, and consume music. As computers became viable sources for the playback of popular music in the 1980s and 1990s, the roots of the digital music commodity took hold. Stripped of many of their previous attributes (i.e. album art, compressed sound, packaging, etc.), recordings as digital files were initially decontextualized commodities. On computers, music underwent an interface-lift, gradually getting redressed with new features (i.e. metadata, interfaces, digital ÂpackagingÂ). This dissertation focuses on five technologies  Winamp, Metadata, Napster, iTunes and Cloud Computing  that were key to rehabilitating the music commodity in its digital environments. These technologies and the cultural practices that accompanied them gave music new paratexts and micromaterials that ultimately constituted the digital music commodity. Through case studies, generative archival research, and descriptive analysis, this study makes methodological and intellectual contributions to the field of communication and technology studies as well as to studies of new media and the cultural industries. By teasing out the differences between the commodity aspects of the CD and the digital file, this project offers fresh perspectives on materiality, aesthetics, labour and ownership in an era of digital goods. Digital music's fluid and ubiquitous nature seems to subvert those who seek to profit from it. But while digital music offers the potential to disrupt the traditional ways of doing business in music, it also affords new forms of control and power. This has not stopped artists, hobbyists and users from carrying out creative experiments that call into ques
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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; both teacher heads agree on what is shown here.
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".