Cultural Globalization and Music: African Artists in Transnational Networks
Bibliographic record
Abstract
Migrant musicians on the African continent have established intricate networks between Europe and home, often returning from abroad to re-energize in their local musical community while bringing back with them cultural cache. Nadia Kiwan and Ulrike Hannah Meinhof’s study sets out to create a new model of these global music networks that span Europe and Africa. This model includes a host of interactions between the North and the South. As well as connections among translocal (within a nation) and transnational (beyond the nation) communities that are sustained through the movement of musicians, musical influence and resource sharing (such as money, equipment and promotion). This ethnographic work uses case studies of musicians from North Africa and Madagascar who have relocated to Europe in order to detail the intricacies and complexities of these networks. The book is divided into four parts: the introduction describes the author’s methodology and migration model, Part 1 describes networks that exist in the South (North Africa and Morocco), Part 2 describes the relationships in Europe that have taken root to create musical communities among African migrant musicians and Part 3 describes mutually beneficial relationships
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".