Review: <i>Record Cultures: The Transformation of the U.S. Recording Industry</i>, by Kyle Barnett
Bibliographic record
Abstract
Book Review| March 01 2024 Review: Record Cultures: The Transformation of the U.S. Recording Industry, by Kyle Barnett Kyle Barnett. Record Cultures: The Transformation of the U.S. Recording Industry. Ann Arbor, MI: University of Michigan Press, 2020. 320 pp. Andy Kelleher Stuhl Andy Kelleher Stuhl McGill University Andy Kelleher Stuhl is a PhD candidate in Communication Studies at McGill University. His dissertation is a history of automation and artistic response in American broadcast radio between 1950 and 2010. His research aims to surface historical continuities behind phenomena in auditory media, such as automated distribution, that often appear as 21st-century novelties – and to recover earlier work by radio artists as critical precedents for new media experimenters. Email: [email protected] Search for other works by this author on: This Site PubMed Google Scholar Email: [email protected] Journal of Popular Music Studies (2024) 36 (1): 164–166. https://doi.org/10.1525/jpms.2024.36.1.164 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Andy Kelleher Stuhl; Review: Record Cultures: The Transformation of the U.S. Recording Industry, by Kyle Barnett. Journal of Popular Music Studies 1 March 2024; 36 (1): 164–166. doi: https://doi.org/10.1525/jpms.2024.36.1.164 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentJournal of Popular Music Studies Search If asked to explain the Grammy Awards, any of us could be forgiven for saying they recognize achievements in popular music. Most of a Grammy ceremony could roll by without dissuading that notion, until long-down-the-list categories like "Best Boxed or Special Limited Edition Package" remind viewers that the Grammys, presented by the Recording Academy, have more to do with musical recordings than with music per se. Today, the synonymy between popular music and the recording industry is so entrenched as to seem unremarkable; what musician wouldn't record their songs in the process of pushing them toward a popular audience? Kyle Barnett's Record Cultures: The Transformation of the U.S. Recording Industry returns us to a historical moment when industrial actors, including musicians, were still working hard to establish that link. From the mid-1910s through the Great Depression, Barnett guides us through bursts of expansion and experimentation in commercial record production, through... You do not currently have access to this content.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.028 |
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".