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Record W3123407248

The Ultrahazardous Activity of Excluding Family Members in Canada’s Immigration System

2016· article· en· W3123407248 on OpenAlexaboutno aff
Jamie Liew

Bibliographic record

VenueThe Canadian Bar Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsFamily reunificationImmigrationImmigration lawGovernment (linguistics)TortLawFamily memberPolitical scienceRefugeeLiabilityImmigration policyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Who is family? Some of us take for granted that we, as Canadians, can not only choose who our family is but whether we can live with them in Canada. One little-known regulation in our immigration system is wreaking havoc on our family reunification system. We are told that section 117(9)(d) of the Immigration and Refugee Protection Regulations aims to protect the integrity of our immigration system by preventing and deterring fraud in family reunification. Practically, the regulation applies to persons who, when applying to immigrate to Canada did not disclose and therefore have a family member examined by immigration officials. The regulation, when triggered, imposes a lifetime ban on the sponsor to sponsor the non-disclosed family member. The rule denies Canadian citizens and permanent residents from ever being with their family in Canada, even if they are genuine family members. This paper looks closely at this regulation and points out that the construction of the rule is one that is akin to an absolute liability regime, reserved for deterring and preventing ultrahazardous activity in criminal and tort law. When considered against evidence that indicates that the main reason why persons do not disclose their family has nothing to do with fraud, the paper argues that the regulatory regime is a prejudicial and sticky generalization that allows non-discretionary exclusion of persons from Canada. Further, while the government may feel that this regulation makes it easier to determine who is in the family class, it ignores tried and tested mechanisms already in existence to deal with fraud. Finally, the paper argues, the provision is not merely suboptimal, but inhumane and unconstitutional.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.957

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 communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.281
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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