The Nepalese Diaspora in Canada: History, Diasporic Experiences, and Contemporary Issues
Bibliographic record
Abstract
Despite the Nepalese diaspora being a part of the South Asian diaspora in Canada—the largest fraction of Canadian diasporas—systematic investigations into and knowledge about the Nepalese diaspora is strikingly limited. The existing studies centred on the South Asian diaspora predominantly deal with the Indian, Pakistani, Sri Lankan, and Bangladeshi diasporas and often homogenize the Nepalese diaspora with these diasporic groups. This study, as the first scholarly investigation into this group, examines the emerging and fast-growing Nepalese diasporic community in Canada. Based on government data, reports, and in-depth semi-structured interviews, this article presents the history of the Nepalese diaspora in Canada. It also delineates their diasporic experiences as they arrive and embark on a new journey to Canada and some contemporary socio-cultural and intergenerational issues that have arisen in this diasporic community. The article finds a rapid growth in the Nepalese diaspora in about the last two decades. It identifies the quest for a better life, health care, social security, children’s education, and escape from political turmoil and instability in their native country as the chief reasons for this influx of Nepalese in Canada. The article also uncovers dramatic career shifts, adaptation or settlement-related strains, longing for homeland, cultural decline, and growing intergenerational gaps as the key post-immigration challenges encountered by the Nepalese diaspora in Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.050 | 0.014 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".