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Record W4320491666 · doi:10.4324/9781003376217-4

Diaspora Geopolitics in Toronto: Tamil Nationalism and the Aftermath of War in Sri Lanka

2023· book-chapter· en· W4320491666 on OpenAlexaboutno aff
Jennifer Hyndman, Amarnath Amarasingam, Gayathri Naganathan

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsTamilSri lankaDiasporaNationalismGeopoliticsHistoryPolitical scienceMedia studiesGender studiesEthnologyArtSociologyLiteratureSouth asiaPoliticsLaw

Abstract

fetched live from OpenAlex

During the mid to late 1980s tens of thousands of Tamils from Sri Lanka sought and got asylum in Canada, forging the basis of the sizeable diaspora today. The Canadian state granted overwhelmingly positive decisions to Tamil refugee claimants based on evidence that the Government of Sri Lanka colluded in systematic violence against and killing of Tamil civilians who were not part of the militant separatist rebel group known as the Liberation Tigers of Tamil Eelam. Canada continues to accept a majority of Tamil asylum seekers today, and hosts diaspora geopolitics – a less state-centric politics among diaspora members – ‘from below’. People who live in exile as part of diasporas share particular geopolitical and personal histories of violence and displacement and have left their country of origin. Tamils from Sri Lanka began seeking refuge in Canada in the 1980s when militant rebels from the largely Tamil north faced off against a predominantly Sinhalese nationalist state and military.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.313
Threshold uncertainty score0.630

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0140.006
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.300
Teacher spread0.278 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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