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Record W6981881751

A force in foreign affairs? Tamil diaspora interest group lobbying in Canada and the United Kingdom

2018· dissertation· en· W6981881751 on OpenAlexaboutno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2018
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaTamilForeign policySpanish Civil WarScholarshipKingdom
DOInot available

Abstract

fetched live from OpenAlex

Foreign policy observers have deliberated for decades on the influence of diasporas on host country foreign policy, and by extension on civil wars abroad. The 26-year civil war in Sri Lanka led to an exodus of hundreds of thousands of Sri Lankan Tamils, which have since formed large diasporas in Canada and the United Kingdom. Through the formation of sophisticated interest groups, the Sri Lankan Tamil diaspora in both countries have undertaken to influence foreign policy toward the civil war and its aftermath. While the scholarship has discussed diaspora influence on foreign policy in great detail in the United States and elsewhere, identifying a number of factors believed to impact diaspora influence, the literature has spent less time considering this question in parliamentary democracies. Through a most-similar, cross case comparative approach I delve into two foreign policy decision-making processes in Canada and the United Kingdom to determine if and when Tamil diaspora interest groups influenced Canadian and British foreign policy. I argue that in all four temporal and spatial cases explored, Tamil diaspora interest groups had influence over decision-making, but that they had more influence in the UK despite facing greater domestic and international constraints.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.011
GPT teacher head0.172
Teacher spread0.161 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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