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Record W3175911348 · doi:10.4337/9781789902266.00013

The problem of boundaries: the Constitution and the meaning of citizenship

2021· book-chapter· en· W3175911348 on OpenAlexaboutno aff
Asha Kaushal

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsLawCitizenshipPoliticsPolitical scienceImmigration lawImmigrationJurisprudenceConstitutionSociologyLaw and economics

Abstract

fetched live from OpenAlex

At the bottom of all immigration laws lie political theory conundrums about boundaries, scope, and closure. In this paper, I examine the politics of immigration law through the prism of long-term permanent residents. Where political theory is plain about the reach of moral obligations and the value of membership in a political community, immigration law is both obscure about such matters and vested in that obscurity. I consider this relationship through two valences. First, I examine the constitutional provision pertaining to permanent residence, comparing the narrow negotiating history and early economic interpretations of section 6 of the Charter to the provision’s later role underwriting the most fundamental and exclusionary principle of immigration law in the Chiarelli case. Second, I review the small handful of Federal Court cases which directly address long-term permanent residents as a category of people, and examine how they intersect with concepts of substantive citizenship. Rights of citizenship that are not anchored in the state and the concept of the denizen are notions that bridge the political theory / immigration law divide. The doctrinal turns employed in Canadian jurisprudence to keep long term permanent residents beyond the reach of political community reveal that immigration law has not yet come to terms with its political foundations.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.732
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0030.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.249
Teacher spread0.227 · 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
GenreOther

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 routes1
Has abstractyes

Explore more

Same venueEdward Elgar Publishing eBooksSame topicMigration, Refugees, and IntegrationFrench-language works237,207