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Record W4386267333 · doi:10.33679/rmi.v1i1.2357

Exploring Mexican Immigrant Settlement in the Suburbs of Vancouver

2022· article· en· W4386267333 on OpenAlex
Anabel López Salinas, Carlos Teixiera

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

VenueMigraciones internacionales · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImmigrationSettlement (finance)SuburbanizationDestinationsEthnic groupGeographyDiversity (politics)PoliticsEconomic growthHuman settlementPolitical scienceBusinessTourism

Abstract

fetched live from OpenAlex

In the current age of migration, suburbs in many Canadian cities are becoming important ports of entry for new immigrants from around the world. This has led to a growth in cultural, ethnic, and racial diversity in the suburbs reflecting global migration patterns. In Vancouver, Canada, the growing “suburbanization” of immigrants is shaping social, cultural, economic, and political landscapes in these areas. Through interviews with 60 key informants, we explore the settlement of Mexican immigrants in Burnaby, Surrey, and Abbotsford, fast-growing Canadian communities, and popular destinations for Mexican immigrants. The findings reveal that Mexican immigrants living in the suburbs of Vancouver face numerous barriers, including lack of access to affordable housing to rent or buy, lack of information on settlement services, and difficulty securing acceptable employment.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.307
Teacher spread0.183 · 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