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Record W4244325202 · doi:10.32920/ryerson.14658087.v1

"We Want Justice!”: Transnational Political Activism Among Second Generation Tamil Youth and Identity (Re)Construction Within Transnational Social Spaces

2021· preprint· en· W4244325202 on OpenAlexaffabout
Srivany Kanaglingam

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransnationalismTamilIdentity (music)PoliticsGender studiesSociologyTransnationalityEconomic JusticePolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

Drawing on the experiences of the 2009 transnational political activism of second generation Tamil youth, this study explores transnationalism among the second generation in Canada and identity construction within transnational social spaces. It also engages in discussions on the importance of recognizing the existence of transnationalism as not just a phenomenon of the first generation. Based on a sample of nine second generation Tamil youths, findings suggest that the second generation is selective in its transnational practices, while expanded forms of transnationalism exists and fluctuates over the life course. Both Tamil and Canadian identities were found to be hybrid, fluid, shifting and situational, marked by a sense of belonging to both Canada and Sri Lanka. The second generation are thus situated between various and opposing ideas and information flows in which they are able to traverse and stimulate transnational engagement, when and if they wish to do so.

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)0.001
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: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.675

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.325
Teacher spread0.270 · 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
Published2021
Admission routes2
Has abstractyes

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