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Record W2001989685 · doi:10.1093/jrs/fej009

Securing Borders: Detention and Deportation in Canada. By Anna Pratt. Vancouver: University of British Columbia Press, 2005. x + 290pp. CAN$85, ISBN 07748 1154 4 hb

2006· article· en· W2001989685 on OpenAlexaboutno aff
Claudia Tazreiter

Bibliographic record

VenueJournal of Refugee Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsDeportationRefugeeTerrorismPolitical scienceState (computer science)SovereigntyImmigration detentionImmigrationSecuritizationScholarshipFace (sociological concept)LawCriminologySociologyPoliticsSocial science

Abstract

fetched live from OpenAlex

The governments of Western liberal democracies are as one in their desire to keep dangers and risks at a distance from their members. This task has become more complex, first, as the phenomenon of globalization challenges state sovereignty, not least through borders that are more permeable, and, second, in the face of new forms of international terrorism. Though it is certainly not a ‘natural’ coupling, migration has been increasingly linked to security concerns. The effect is that refugees and asylum seekers in particular are the target of coercive and violent state practices directed at excluding these ‘forced migrants’ through strategies that are often hidden from citizens: detention and deportation. In Securing Borders, Anna Pratt documents the approach Canada has taken to immigration policy and refugee claimants since the Second World War and adds to a growing scholarship which takes account of the current securitization of state borders. In the...

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.078
Threshold uncertainty score0.563

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.009
Science and technology studies0.0110.009
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0180.005

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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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
GenreReview

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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Refugee StudiesSame topicMigration, Refugees, and IntegrationFrench-language works237,207