The Extraordinary Statelessness of Deepan Budlakoti: The Erosion of Canadian Citizenship Through Citizenship Deprivation
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.038 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".