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Record W2112201483 · doi:10.3138/seminar.2015.51.4.301

Berlin without Borders? Urban Anthems in Twenty-First-Century Popular Music

2015· article· en· W2112201483 on OpenAlexvenueno aff
Patricia Simpson

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsDeterritorializationSociologyGlocalizationGlobalizationMulticulturalismMusicalPoliticsMedia studiesVisual artsPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

Popular Berlin “anthems” both attest and contribute to the social, political, and cultural tensions that accompany the complex process of identity formation in the urban capital and the projection of its global image. An integral aspect of its cosmopolitan identity, Berlin hosts an international party scene that incorporates the city's history of divisions and borders into a discourse about its own brand of “hipness.” This article analyzes several Berlin-based musicians and the songs that reflect a process of deterritorialization, recoding, and reterritorialization, consciously inserting Berlin-specific signifiers into the syntax of cultural globalization. These contemporary anthems acknowledge social realities while recoding musical genres in the service of a more multicultural, creative, and tolerant metropolis. The marketing and mainstreaming of edgy, urban soundscapes include the dislocations characteristic of a globalizing capital. Increasingly, songs about Berlin engage in remapping the local, provincial, and subcultural onto Berlin as a world media city.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.065
GPT teacher head0.285
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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