MétaCan
Menu
Back to cohort
Record W4407414372 · doi:10.3390/genealogy9010016

The Nepalese Diaspora in Canada: History, Diasporic Experiences, and Contemporary Issues

2025· article· en· W4407414372 on OpenAlexafffundabout
Subash Giri

Bibliographic record

VenueGenealogy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsUniversity of Alberta
FundersSociety for EthnomusicologyUniversity of Alberta
KeywordsDiasporaHistoryAnthropologyPolitical scienceGender studiesEthnologySociologyGeography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.286
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueGenealogySame topicDiaspora, migration, transnational identityFrench-language works237,207