CONSTRUCTING A DIASPORA IDENTITY IN ENGLISH: THE CASE OF SRI LANKAN TAMILS*
Bibliographic record
Abstract
Sri Lankan Tamils are among the new wave of immigrants in Western metropolises, such as London, Los Angeles, Paris, Sydney, and Toronto. Before the Sri Lankan ethnic conflict was really militarized (i.e., before 1983), Tamils left the island sporadically for educational purposes, and largely to the colonial metropolis London. Within the last twenty years, however, they have spread out in increasing numbers to many other locations in the West. Currently, according to the estimates of Tamil community organizations, there are about 150,000 Tamils in Toronto (the largest community of Tamils outside Sri Lanka) and 50,000 in London. Though they are scattered in the United States, Tamils form a cohesive community of about thirty-five families in a small town populated by 121,000 people in Lancaster (about sixty miles north of Los Angeles).
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".