Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The locution "music industry" still too often refers to a single subset of profit-making practices in music: record labels and the activities around them. Media scholars are partly to blame, as they continue to define record labels, and especially labels that are part of conglomerates, in this way. Yet this notion of the production and sale of recordings as the basis of "the music industry" is hardly a part that represents the whole. Drawing on the work of Christopher Small and others who have decentered the musical text as the basis of music criticism, I argue that media industries scholars must do the same, opening up our inquiries to a wide range of music industries; that is, industries whose activities directly affect the performance, production, circulation, consumption, recirculation, appropriation, and enjoyment of music today. Opening the term up in this way will allow us to develop more robust and coherent social accounts of music as a media practice, and provide a stronger empirical basis for criticizing current institutional arrangements and proposing new, more just and convivial alternatives.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.112 | 0.002 |
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 it