Migration, Language, Identity: The Journey of Meixian Hakkas from Calcutta to Vienna
Bibliographic record
Abstract
Hakkas from Meizhou who migrated to Calcutta established suc¬cessful businesses, and then, in the 1970s to the 1990s, moved on to settle in Vienna (and Toronto). Prac¬ticing a closed-group life both in Vienna and across continents, the Hakkas preserved their lan¬gua¬ge and culture while adapting both to India and Austria in various ways. In a series of open interviews with Vienna-based Hakkas, questions of identity and the preservation of a minority culture are raised. In dependence to age, the consultants have very different personal identities behind a shared social identity of being ‘Indian Hak¬ka¬s,’ which is, however, mostly borne out of practical considerations of mutual support and certain cultural practices. As mi¬grants, they can profit from close friendship and loyalty between group members, sharing the same pro¬fes¬sions, marrying inside the group, and speaking their own language. Questions of identity are most¬ly relevant for the younger generation which has to deal with a confusingly layered familial iden¬tity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".