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Record W1009043365 · doi:10.1353/ces.2015.0011

The Production of Irregular Migration in Canada

2015· article· en· W1009043365 on OpenAlexvenueaboutno aff
Basia D. Ellis

Bibliographic record

VenueCanadian ethnic studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Economic geographyGeographyEconomics

Abstract

fetched live from OpenAlex

Irregular migration is a growing, global issue that is still undertheorized in the Canadian context. While economic globalization and capitalist expansion displace growing numbers of migrants, advanced nations including Canada are tightening their borders and increasing their immigration laws. With fewer legal migration channels available, a growing number of migrants are choosing irregular ways of life, whereby they reside, work, and raise their families underground. This paper critically assesses how irregular migration is produced and perpetuated in Canada. Following other critical migration scholars (Andrijasevic 2009; De Genova 2002; Goldring et al. 2009), I begin from the premise that not only laws, but nation-state rulers and agents, employers, and a diversity of social actors who may appear unconnected to the government engage in practices that contribute to the production of irregular migration. From this view, irregularity is seen less as a legal status and more as a sociopolitical condition generated and maintained by a range of structural and psychosocial determinants. Henceforth, I discuss several key geopolitical, juridicial, and sociopsychological determinants of irregularity in Canada. Further, I highlight the challenging conditions that constitute irregular life in the Canadian context in order to make imperative the need for social change as well as propose some directions for political action. La migration irrégulière est un phénomène global qui s’accroît, mais qui n’a pas encore été abordé dans le contexte canadien. Pendant que la globalisation économique et l’expansion du capitalisme déplacent un certain nombre d’immigrants, les pays développés, y compris le Canada resserrent leurs frontières et renforcent leurs lois d’immigrations. Avec quelques canaux de migration légaux disponibles, un nombre croissant d’immigrants choisissent les voies irrégulières de la vie, au moyen desquelles ils vivent, travaillent et élèvent leurs familles. Ce papier évalue de manière critique la façon dont la migration irrégulière se produit et se perpétue au Canada. Faisant suite à d’autres spécialistes critiques de la migration (Andrijasevic 2009; De Genova 2002; Goldring et al. 2009), je pars du principe que, non seulement les lois, mais aussi les dirigeants, les agents de l’Étatnation, les employeurs, les acteurs de la diversité sociale, qui peuvent paraitre déconnectés du gouvernement s’engagent dans des pratiques qui contribuent à la production de la migration irrégulière. De ce point de vue, l’irrégularité est considérée moins comme un statut légal ou encore une condition sociopolitique générée et maintenue par une gamme de déterminants structuraux et psychosociaux. Désormais, j’analyse quelques déterminants géographiques, juridiques et sociopsy-chologiques importants de l’irrégularité au Canada. Ensuite, je mets l’accent sur les conditions difficiles qui constituent la vie irrégulière dans le contexte canadien dans le but, non seulement de montrer le besoin impératif du changement mais aussi de proposer des orientations pour l’action politique.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.789

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0200.007
Scholarly communication0.0060.001
Open science0.0020.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.130
GPT teacher head0.362
Teacher spread0.231 · 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 designQualitative
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

Citations35
Published2015
Admission routes2
Has abstractyes

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