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The Criminalization of Migration in Canada and Its Unintended Policy Consequences

2018· reference-entry· en· W2910328536 on OpenAlexaboutno aff
Idil Atak

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsCriminalizationRefugeeTamilAgency (philosophy)Unintended consequencesPolitical scienceGovernment (linguistics)Sri lankaHuman rightsPublic administrationCriminologyGeographyLawSociologySocioeconomicsSocial science

Abstract

fetched live from OpenAlex

This chapter examines the criminalization of asylum seekers arriving irregularly into Canada and the human rights implications of this process, in particular the Designated Foreign National (DFN) policy established in 2012 and the increased role of the Canada Border Services Agency (CBSA) in the refugee system. These changes exemplify the crisis-led management by the previous Conservative government as a reaction to the 2009 and 2010 boat arrivals of nearly 600 Tamil asylum seekers from Sri Lanka. The specific objectives of the policy amendments are scrutinized to determine whether their stated goals are being achieved. The chapter draws on interviews conducted between October 2015 and May 2017 in three major provinces (Quebec, Ontario, and British Columbia) that host the majority of asylum seekers in Canada.

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)0.002
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.171
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0330.012
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0020.003
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 head0.032
GPT teacher head0.310
Teacher spread0.278 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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