What Is Remembered and What Is Forgotten? South Asian Diasporic Histories and the Shifting National Imaginary
Bibliographic record
Abstract
This paper considers two historical events in Canada’s past that have a haunting presence in the South Asian Canadian diasporic imaginary, the 1914 Komagata Maru incident and the second is the 1985 bombing of Air India Flight 182. In recent years, there has been a rather striking proliferation of texts about the Komagata Maru and Air India. Even more interesting is that these texts have come out in various forms including novels, short stories, museum exhibits, inquiries, websites, illustrated books, apologies, and so on. This paper examines two of these texts: Bharati Mukherjee’s 1987 short story “The Management of Grief” and Ajmer Rode and Jarnail Singh’s 2011 museum exhibit the “ Komagata Maru Stories.” It argues that set against the forgetting of the Komagata Maru and Air India cases in official history are the efforts of writers, artists, and activists who have done the hard work of inserting diasporic histories into the national imaginary and who have therefore sought to remember the nation differently.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.059 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| 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".