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Record W2626804125 · doi:10.1111/sena.12222

The Case of the Sri Lankan Tamil Diaspora and Homeland: A Shared Ethnic Identity?

2017· article· en· W2626804125 on OpenAlexaffabout
Kalyani Thurairajah

Bibliographic record

VenueStudies in Ethnicity and Nationalism · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsMacEwan University
Fundersnot available
KeywordsHomelandTamilDiasporaEthnic groupIdentity (music)Gender studiesPoliticsConceptualizationSociologyPolitical scienceMedia studiesAnthropologyLawAesthetics

Abstract

fetched live from OpenAlex

Abstract The conceptualization of an ethnic identity is complicated when one considers how this identity is understood by the diasporic community and by the homeland community. This article argues that the second‐generation Sri Lankan Tamil diasporic community in Toronto conceptualize their Tamil ethnic identity in a manner that supports their right to engage in homeland politics. However, not all Tamils in Sri Lanka share this understanding. Drawing on over one hundred interviews conducted among second‐generation Tamils in Toronto and their age‐cohort in Sri Lanka, this article argues that the very premise upon which the diasporic population base their right to engage in homeland politics and their right to claim membership of a shared ethnic identity may not be justified by those in the homeland. These diverging perspectives of ethnic identity challenge the role of the diasporic community in homeland affairs.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.020
Scholarly communication0.0060.002
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.118
GPT teacher head0.432
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations14
Published2017
Admission routes2
Has abstractyes

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