Home, city and diaspora: Anglo–Indian and Chinese attachments to Calcutta
Bibliographic record
Abstract
Abstract This article is about the city as home for people living in diaspora. We develop two key areas of debate. First, in contrast to research that explores diasporic homes in relation to domestic homemaking and/or the nation as home or ‘homeland’, we consider the city as home in diaspora. Second, building on research on transnational urbanism, translocality and the importance of the ‘city scale’ in migration studies, we argue that the city is a distinctive location of diasporic dwelling, belonging and attachment. Drawing on interviews with Anglo–Indian and Chinese Calcuttans who live in London and Toronto, we develop the idea of ‘diaspora cities’ to explore the importance of the city as home rather than the nation as ‘homeland’ for many people living in diaspora. This leads to an understanding of the importance of migration and diaspora within cities of departure as well as resettlement, and contributes a distinctively diasporic focus to broader work on comparative urbanism.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".