Language shift and the family: Questions from the Sri Lankan Tamil diaspora<sup>1</sup>
Bibliographic record
Abstract
Fishman's Graded Intergenerational Disruption Scale (GIDS) emphasizes the family in maintaining the heritage languages of immigrant communities. This study uses interview data from Sri Lankan Tamil communities in the U.S.A., U.K., and Canada to explain how families account for the rapid loss of Tamil in the diaspora. It shows how the positive valuation of English since British colonization, the need to make up for past deprivations because of caste, religious, and gender inequality, the pressure for migrants to join the social mainstream, and the need to resolve intergenerational tensions influence the family to forego language maintenance goals. The findings encourage us to situate the family in macro‐social institutions, power, and history in order to understand the prospects for language maintenance. The article provides an inside view of the Sri Lankan Tamil migrant families to explain how they resolve the tensions of valuing cultural identity and yet disregarding heritage language proficiency.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".