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Record W7015378035

Settling the Law: An Empirical Assessment of Decision-Making and Judicial Review in Canada's Refugee Resettlement System

2021· article· en· W7015378035 on OpenAlexfundaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
FundersUnited Nations High Commissioner for RefugeesGovernment of Canada
KeywordsRefugeeLegislatureDisplaced personForced migrationRefugee lawEmpirical research
DOInot available

Abstract

fetched live from OpenAlex

In light of rising numbers in the global refugee population, as well as new ideas for reforming the international refugee regime that emphasize refugee containment, there is reason to reaffirm refugee resettlement as a solid mechanism for burden-sharing, and perhaps the only obtainable durable solution for refugees in a protracted refugee situation. Canada has operated a robust refugee resettlement program for decades and is now presenting its private sponsorship of refugees program as a model to the rest of the world. Despite the significance of Canadas resettlement program, both domestically and internationally, few studies have investigated how the program is deployed on the ground and how it is integrated within Canadas legal system. This dissertation explores, through empirical methodologies, how Canadas refugee resettlement framework operates as a legal process, with a focus on visa officer first instance decision-making and judicial review. The dissertation also investigates the role of refugee resettlement within Canadas broader refugee policy and explores the evolving dynamics within the private sponsorship of refugees program. The analysis relies primarily on a dataset of 403 Federal Court judicial review court files submitted by rejected resettlement applicants between 2011 and 2015. The data on visa officer decision-making reveals concerning trends in various areas of decision-making, including documenting decisions, assessing credibility, assessing objective evidence, and dealing with language barriers and gender-based claims. The data also shows problematic interpretations of legislative criteria, including local integration, successful establishment, and inadmissibility. These shortcomings have serious consequences for refugee applicants, who are entitled to a fair and accurate decision, but also for sponsors in Canada, whose commitment for sponsorship may fade in the face of repeated problematic decisions. The analyses of judicial review outcomes show that leave grant rates are much higher in overseas refugee cases than in inland cases. The data also shows that some extra-legal factors, including lawyer experience and city of filing, are correlated to variations in outcomes. The wide variation in grant rates among individual Federal Court judges observed in the inland refugee context is also partly reflected in the dataset. In a more general sense, the data suggests that judicial review plays a limited role in the refugee resettlement program because of various legal and practical factors. Very few resettlement applicants have the financial or informational resources to pursue judicial review. As such, judicial review is an inaccessible avenue for the vast majority of resettlement applicants. Access to judicial review is further limited by the leave requirement, which deprives more than a third of applicants from having their case heard on the merits. In addition, the government settles out of court a surprisingly high proportion of cases. This practice raises concerns around IRCCs potential use of case settlement as a method to insulate objectionable practices from judicial and public scrutiny, and avoid restrictive precedents. Considering the important practical difficulties refugee applicants face in accessing judicial review, this dissertation suggests that the most promising avenue for improving the legal infrastructure of refugee resettlement is to strengthen first instance decision-making through administrative changes. A few recommendations are offered in this regard, including increasing visa officer training, reverting to the automatic internal review of refusals, and instituting audio recording of interviews. I also argue that two regulatory changes are needed in order to bring Canadas resettlement framework more in line with UNHCR guidelines and the principle of refugee protection, namely the elimination the successful establishment and the UNHCR documentation requirements.

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)0.062
metaresearch head score (Gemma)0.271
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.936

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.271
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.014
Science and technology studies0.0210.016
Scholarly communication0.0210.004
Open science0.0040.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.261
Teacher spread0.245 · 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 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
Published2021
Admission routes2
Has abstractyes

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Same venueYork University Digital Library (York University)Same topicMigration, Refugees, and IntegrationFrench-language works237,207