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Record W2163196564

Demonstrating Identities: Citizenship, Multiculturalism and Canadian-Tamil Identities

2010· article· en· W2163196564 on OpenAlexaffabout
Anuppiriya Sriskandarajah

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMulticulturalismConceptualizationCitizenshipGender studiesIdentity (music)TamilSociologyPoliticsNational identityIslamophobiaPolitical scienceAestheticsLawLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Using political demonstrations as sites of analysis, this thesis explores popular understandings of diasporic identities within a Canadian multiculturalism framework and second generation Sri Lankan Tamil's (SLT) (re)negotiations of these constructions in forming and informing their identities. Through the use of critical discourse analysis and in-depth interviews I argue that popular constructions of diasporic identities and Canadian national identity as understood within a multiculturalism framework is not entirely in concurrence with diasporic minorities' identity constructions. The divergences that emerge amongst the discourses demonstrate a need for a more nuanced conceptualization of Canadian multiculturalism and citizenship which should incorporate the idea of transnational political and cultural practices. The current understanding of multiculturalism is still premised on the nation state model in which diasporic identities are seen in juxtaposition to the Canadian national identity. Moving towards a global framework allows for the incorporation of these forms of identities.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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.

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

Citations4
Published2010
Admission routes2
Has abstractyes

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