Sylheti Diaspora in the United Kingdom: Exceptionalism or Contested Nationalism?
Bibliographic record
Abstract
ABSTRACT This study looks at the Sylheti diaspora in the United Kingdom and examines whether their identity reflects a form of cultural exceptionalism or a contested nationalism. Originating from the Sylhet region of Bangladesh, the Sylheti community has a distinct dialect, customs and heritage that often sets them apart from other Bangladeshi communities. Through qualitative interviews and ethnographic research, we explore the complex narratives surrounding Sylheti identity. Participants revealed a sense of belonging to their Sylheti roots that sometimes contrasts with the broader Bangladeshi identity. This unique perspective can lead to a sense of cultural distinctiveness, even in the context of Bangladesh itself, where Sylheti identity may not always align with the mainstream national narrative. Our findings suggest that the Sylheti diaspora in the United Kingdom embodies a dual identity, with people often identifying as either Sylheti or British, or a combination of both, rather than having a broader Bangladeshi identity. This complex interplay between cultural heritage and national identity leads to an understanding of how diasporic communities manage their identity in a multicultural environment. This research contributes to the wider discourse on diaspora, cultural identity and nationalism and offers insights into the unique experiences of the Sylheti community in the United Kingdom.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".