Bibliographic record
Abstract
This book considers how the literature of the Somali diaspora deploys themes of ambivalent belonging in cosmopolitan spaces. The book starts by building a picture of cosmopolitanism thinking from the European Enlightenment through to key postcolonial thinkers like Anthony Appiah, Achille Mbembe, and Arjun Appadurai. However, the book shows that far from a picture of diverse groups coming together in mutual respect, in fact cosmopolitanism is affected by mutual phobias between migrants and their host cultures. These phobias stem from (ethno)racism, Islamophobia, classicism, clannism, xenophobia, and mutual superiority and inferiority complexes. In building this analysis, the book considers key texts from Ayaan Hirsi, Yasmeen Maxamuud, Jonny Steinberg, Nuruddin Farah, and Santur Ghedi, with settings that range from North America, Canada, Norway, Holland, Germany, South Africa, Saudi Arabia to East Africa.Considering literature on the Somali diaspora within the context of major cosmopolitan theories and postcolonial inflexions, this book is an important contribution to contemporary sociopolitical conversations, and will be of interest to researchers across literary and cultural studies.
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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 | 0.001 | 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".