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Record W7027003340

Between Legitimate Refugees and Deportable Subjects: (In)admissibility in Canadian Immigration Law

2017· article· en· W7027003340 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationRefugeeImmigration lawGovernment (linguistics)CertificateState (computer science)Variety (cybernetics)Immigration policy
DOInot available

Abstract

fetched live from OpenAlex

While legal discourse commonly interprets ‘admissibility’ as ‘inadmissibility’ within Canadian immigration law and policy, this research explores ‘admissibility’ as a concept of its own and how it is implemented through Canadian immigration practice. The Immigration and Refugee Protection Act provides concrete terms in which individuals are deemed inadmissible to Canada, however the same cannot be said for an individual being found admissible and nowhere in the Act is admission to the Canadian state guaranteed simply from not meeting such terms. This depicts a disparity between an individual being found not to be inadmissible and actually being admissible to Canada – underscoring the importance to examining how ‘admissibility’ is determined, in addition to ‘inadmissibility’, within the field of immigration. Specifically, this project addresses the following research question: How is admissibility constructed and framed within Canadian immigration law and policy? Two case studies – 1) The security certificate mechanism and 2) Canada’s recent response to the Syrian refugee crisis – of opposing immigration objectives – determining individuals to be inadmissible and admissible, respectively – are analyzed, though it is important to recognize that the construction of admissibility takes place through a variety of sites and processes, most of which are less public than the two cases. To gain an informed understanding of admissibility, this project employed a multi-phase research process that collected data from three sources: 1) Access to Information data from governmental bodies, 2) Open source data from online government websites, and 3) Data from interviews conducted with practitioners in the field of immigration law. Admissibility emerges as a fluid construct that is framed and circumscribed by ‘security’ – and due to its political nature, the terms surrounding the admissibility of a non-Canadian citizen is susceptible to influence, suggesting multiple ways or “points of admissibility” in which an individual’s admissibility can be constructed. Additionally, I provide a detailed review on my experience with the Access to Information process.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

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