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Record W4321494677 · doi:10.1177/00113921231155652

Brokering immigrant transnationalism: Remittances, family reunification, and private refugee sponsorship in neoliberal Canada

2023· article· en· W4321494677 on OpenAlex
Emine Fidan Elcioglu, Tahseen Shams

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCurrent Sociology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransnationalismRefugeeImmigrationContext (archaeology)Family reunificationPower (physics)SociologyState (computer science)Political scienceGender studiesPolitical economyPoliticsLaw

Abstract

fetched live from OpenAlex

Using the case study of Canada’s private refugee sponsorship program, we show how neoliberalization heightens the power of non-immigrant civilians to broker immigrants’ transnationalism. Private sponsors respond differently to two common and interrelated forms of refugee transnationalism in which they are structurally empowered to intervene. They encourage family reunification while discouraging remittances, although the former often depends on the fulfillment of the latter. Reflecting on these power imbalances, we classify private refugee sponsorship as part of a North American trend to devolve the management of noncitizens from state actors to ordinary citizens. We conclude by encouraging scholars of transnationalism to look down and investigate how non-immigrant private civilians in receiving countries increasingly shape newcomers’ cross-border linkages. We also urge them to look up and attend to the broader neoliberal context empowering and structuring the behavior of citizen brokers.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.035
GPT teacher head0.320
Teacher spread0.284 · 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