The Anglo-Indians: Transcolonial Migrants and the Dilemma of Identity
Bibliographic record
Abstract
With the British leaving India thousands of Anglo-Indians left for safe shores ‐ Britain, Canada, New Zealand and Australia. This paper traces the dilemmas of identity among these diasporic people from their origins in India, through the period o f the British leaving India a nd India’s Independence a nd finally the dilemmas here in Australia. It l ooks at t he relevance of the issue of whiteness and skin colour to the Anglo-Indian community. It explores Caplan’s conceptualisation of the Anglo-Indians as transcolonial migrants who have left India in the face of globalising influences. Finally, regarding the survival of this community, the loss of their homeland may result in the construction of a number of ‘little Anglo-Indias’ corresponding to the different experiences of Anglo-Indians in the places of their migration and keeping the link with the country of their birth in an ethos of globalisation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".