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Record W2592868010 · doi:10.26522/ssj.v11i1.1404

The Extraordinary Statelessness of Deepan Budlakoti: The Erosion of Canadian Citizenship Through Citizenship Deprivation

2017· article· en· W2592868010 on OpenAlexaffvenueabout
Daiva Stasiulis

Bibliographic record

VenueStudies in Social Justice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsCarleton University
Fundersnot available
KeywordsStatelessnessCitizenshipRenunciationLawPolitical scienceStateless protocolSociologyPersonhoodState (computer science)Politics

Abstract

fetched live from OpenAlex

As part of the larger trend towards “securitization” of citizenship, citizenship deprivation in Canada is becoming increasingly normalized, resulting in some cases in statelessness. In this article, I pursue a sociology of statelessness by examining its localized production and connections to a broader network of social and material relations. I do this through a case study of Canadian-born Deepan Budlakoti, who at age 22 was informed that he was in fact not Canadian, and lacking any other citizenship, was rendered stateless. Actor-Network Theory is employed to trace how it is that legal documental and heterogeneous networks of humans and things (e.g., a “legal technicality”) have been enrolled to produce a legal decision declaring that Budlakoti, despite his Canadian birth certificate and passports, was never a Canadian citizen. Yet because he has not exhausted all avenues to acquisition of some citizenship (e.g., in India or Canada), he also has failed to secure recognition of his statelessness. A particular innovation in this analysis is the exploration of the exemption in the Canadian Citizenship Act from jus soli citizenship for children born to foreign diplomatic staff. Networks of immigration tribunal and court judgements, and documents treated as evidence have connected and translated into establishing Budlakoti’s fit with this exemption, despite countervailing evidence and a lifetime of documented and state-assisted reproduction of his Canadianness. While robbed of his legal and social identity, and suffering the egregious consequences of statelessness, Budlakoti continues to campaign for restoration of his right to have rights within his country of birth.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.003
Scholarly communication0.0000.000
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 head0.156
GPT teacher head0.420
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations14
Published2017
Admission routes3
Has abstractyes

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