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Refugee Rights and Realities: Navigating Canada's Immigration Paradoxes

2024· article· en· W4399977638 on OpenAlexaffabout
Yibo Gao

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRefugeeImmigrationObligationPolitical scienceContext (archaeology)Refugee lawMoral obligationImmigration policyFace (sociological concept)SociologyPublic relationsPublic administrationLawSocial science

Abstract

fetched live from OpenAlex

Canada has both a moral and legal obligation to assist refugees by providing them with resettlement opportunities and permanent residency. However, the integrity of this commitment is compromised by an emerging trend: some international students, initially entering on study permits, are transitioning to refugee status and successfully securing permanent residency. This phenomenon not only raises concerns about the misuse of the asylum system but also highlights a stark disparity—the genuine refugees, who face dire circumstances and imminent danger in their homelands, are often left without the necessary support to resettle in Canada. This paper examines the ethical and practical dimensions of Canadian immigration policy, particularly focusing on the philosophical justifications for assisting the global poor, alongside a critical analysis of the current challenges within the immigration system. The discussion extends to proposing policy enhancements that aim to refine the balance between ethical obligations and practical implementation within the Canadian context. Additionally, this paper addresses potential criticisms and provides thoughtful responses to ensure a comprehensive understanding of the complexities involved in immigration and refugee policies in Canada. By reevaluating the asylum criteria to prioritize those most in need, this paper seeks to align Canada’s humanitarian efforts more closely with its professed values and responsibilities.

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)0.001
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: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.012
GPT teacher head0.338
Teacher spread0.326 · 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
Published2024
Admission routes2
Has abstractyes

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Same venueLecture Notes in Education Psychology and Public MediaSame topicMigration, Refugees, and IntegrationFrench-language works237,207