“Heritage” learners of Hindi as a Foreign/Second Language: Motivation, Culture and Identity
Bibliographic record
Abstract
The surge of Heritage learners in Hindi as a foreign/second language classes in North American universities is the result of combination of several factors.A large-scale migration from South Asian Countries to North America has played a key role in raising the profile of South Asian related courses in universities across North America.The next generation of diasporic South Asians who come to universities for higher education try to negotiate their identity in the western world through culture and language.The unique flexible education system in American universities also allows the students to chose courses from a wide range of subjects in the Humanities.The students regardless of their selected major or minor have to fulfill requirements for taking course from Humanities and Social Sciences.Many Universities even have language requirements too.This unique feature of the education system gives the diaspora students an opportunity to venture into their heritage past and motivates them to take Hindi to fulfill the language requirement and also to make connection with their ancestral past through language.In this paper I will try to examine Hindi second language courses through their ethnic make-up i.e.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".