The literature of the Indian diaspora: Theorizing the diasporic imaginary
Bibliographic record
Abstract
The Literature of the Indian Diaspora constitutes a major study of the literature and other cultural texts of the Indian diaspora. It is also an important contribution to diaspora theory in general. Examining both the 'old' Indian diaspora of early capitalism, following the abolition of slavery, and the 'new' diaspora linked to movements of late capital, Mishra argues that a full understanding of the Indian diaspora can only be achieved if attention is paid to the particular locations of both the 'old' and the 'new' in nation states. \n \nApplying a theoretical framework based on trauma, mourning/impossible mourning, spectres, identity, travel, translation, and recognition, Mishra uses the term 'imaginary' to refer to any ethnic enclave in a nation-state that defines itself, consciously or unconsciously, as a group in displacement. He examines the works of key writers, many now based across the globe in Canada, Australia, America and the UK, – V.S. Naipaul, Salman Rushdie, M.G. Vassanji, Shani Mootoo, Bharati Mukherjee, David Dabydeen, Rohinton Mistry and Hanif Kureishi, among them – to show how they exemplify both the diasporic imaginary and the respective traumas of the 'old' and 'new' Indian diasporas.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.014 | 0.077 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".