Sounds and the city : popular music, place, and globalization
Bibliographic record
Abstract
Introduction: Sounds and the City Brett Lashua, Stephen Wagg, and Karl Spracklen 1. Heart of the Country? The Construction of Nashville as the Capital of Country Music Diane Pecknold 2. Birmingham's Post-Industrial Metal Deena Weinstein 3. Black and Brown Get Down: Cultural Politics, Chicano Music, and Hip-Hop in Racialized Los Angeles Anthony Macias 4. Juidos 'n' Decaf Italians: Irony, Blasphemy, and Jewish Shtick Steven Lee Beeber 5. 'Why I Decided to Pretend I was American, I Will Never Know': Rock 'n Roll and 'The Sixties' in an English Town Stephen Wagg 6. Tamla-Motown in the UK: Transatlantic Reception of American Rhythm and Blues Andrew Flory 7. 'How Many Divisions Does Ozzy Osbourne Have?' Some Thoughts on Politics, Heavy Metal Music and the 'Clash of Civilisations' Stephen Wagg 8. Indieglobalization and the Triumph of Punk in Indonesia Jeremy Wallach 9. Sounds of a 'Rotting City': Punk in Russia's Arctic Hinterland Hilary Pilkington 10. True Norwegian Black Metal: The Globalized, Mythological Reconstruction of the Second Wave of BM in 1990s Oslo Karl Spracklen 11. Continental Drift: The Politics and Poetics of African Hip-Hop Paul Kahlil Saucier 12. 'One Day On Earth': Music, Documentary Filmmaking, and Global Soundscapes Brett Lashua and Joseph Minadeo 13. Intersecting Rhythms: The Spatial Production of Local Canadian Heavy Metal and Urban Aboriginal Hip-Hop in Edmonton, Alberta, Canada Karen M. Fox and Gabrielle Riches 14. Reconstruction's Soundtrack Eric Porter 15. We're Going to Graceland: Globalisation and the Reimagining of Memphis Wanda Rushing 16. Characterising the Cold War: Music and Memories of Berlin, 1960-1989 John Schofield 17. Outback Elvis: Musical Creativity in Rural Australia John Connell and Chris Gibson 18. In Search of 'Independent' Brisbane: Music, Memory and Cultural Heritage Andy Bennett and Ian Rogers Afterword: Reflections on Popular Music, Place and Globalization Stephen Wagg, Karl Spracklen, and Brett Lashua
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".