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Record W4404595353 · doi:10.21275/sr241118123105

Diplomatic Tension between India and Canada: Impacts on Migration and Diaspora Politics

2024· article· en· W4404595353 on OpenAlexaboutno aff
Sanjay Turi

Bibliographic record

VenueInternational Journal of Science and Research (IJSR) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaPoliticsPolitical scienceTension (geology)Political economySociologyLaw

Abstract

fetched live from OpenAlex

The ongoing diplomatic tensions between India and Canada, triggered by allegations of India's involvement in the assassination of Khalistani activist Hardeep Singh Nijjar, underscore the increasing influence of migration and diaspora politics on foreign policy. The Sikh diaspora in Canada, one of the largest outside India, has played a significant role in shaping Canada's internal and external policies, particularly concerning India. Rooted in historical migration waves during political unrest in India, the Sikh community has achieved political and economic prominence in Canada, influencing its political discourse and foreign relations. While the Khalistan movement has diminished in India, it retains support among certain groups in Canada, leading to referendums and protests that challenge India's sovereignty and fuel diplomatic rifts. Canada's liberal stance on freedom of expression and the Trudeau government?s reliance on Sikh support further complicate matters, reflecting a broader global trend where migration politics impact policy - making. This tension serves as a warning for multicultural societies globally, emphasizing the need for balanced immigration policies and adherence to international norms to foster global harmony, as advocated by former UN Secretary - General Kofi Annan.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.532
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.042
GPT teacher head0.408
Teacher spread0.366 · 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
Published2024
Admission routes1
Has abstractyes

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