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Record W3123962051

Revisiting the Application of Section 7 of the Charter in Immigration and Refugee Protection

2017· article· en· W3123962051 on OpenAlexaffabout
Gerald Heckman

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicImmigration Law and Human Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDeportationRefugeePolitical scienceSupreme courtStatuteLawStatutory lawCharterImmigration reformImmigration detentionImmigration lawContext (archaeology)Immigration
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court of Canada’s current approach to the application of s. 7 in the immigration and refugee protection context is inconsistent with its approach to s. 7 engagement in other legal regimes. No principled and transparent reasons have yet been offered to justify this discrepancy. Liberty is engaged in removal proceedings under IRPA because this statute effectively establishes an administrative regime to control non-citizens in large measure through the threat of their forced removal from Canada and exposes them to the possibility of detention in order to carry out this threat. Moreover, deportation may in certain circumstances engage non-citizens’ liberty in its broad sense by preventing them from making fundamental personal choices that go beyond the bare assertion of a right to mobility. Non-citizens’ security of the person is engaged where deportation would place them at risk of physical or serious and profound psychological harm, including that caused by the resulting interference with their profoundly intimate and personal choices, regardless of whether this also involves the breach of their statutory rights. Finally, as in other contexts where there is a risk of state deprivation of liberty or security of the person, and consistently with the relaxed standard of causation adopted by the Supreme Court in Bedford, courts should recognize that these s. 7 interests are engaged in the early stages of the administrative process and not only at the stage most proximate to deportation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.111
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0140.019
Scholarly communication0.0130.004
Open science0.0050.004
Research integrity0.0170.025
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.274
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2017
Admission routes2
Has abstractyes

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Same venueSSRN Electronic JournalSame topicImmigration Law and Human RightsFrench-language works237,207