Cultural Globalization and Music: African Artists in Transnational Networks
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
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 between the North and the South.The authors also include an appendix of interviews in their original French and German.In the introduction to their collection of case studies, Kiwan and Meinhof carefully situate their methodological and theoretical approach, explaining that their work considers "a wider set of interconnections than is usually the case in migration studies" (2011: 2).The glue that connects the networks is called a hub.There are four varieties: human hubs, which crucially link each part of the network, spatial hubs, the geographic points where musical networks converge, institutional hubs, local, national or global organizations that collaborate with musicians, and accidental hubs; often created by the researchers themselves who study these networks and at the same time extend them.Another key concept that is central to this model is transcultural capital, a concept introduced by Meinhof and Triandafyllidou (2006) that builds on Bourdieu's theory of cultural and symbolic capital.The authors define it as:A heuristic concept to enable interpretation and analysis of resources typically associated with transnational migrants who retain substantive links between country of origin and country/ies of settlement and who activate the continuing interdependencies between
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 | 0.000 |
| 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 it