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Record W7010682522

The initial destinations and redistribution of Canada's major immigrant groups : changes over the past two decades

2005· other· en· W7010682522 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2005
Typeother
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationRedistribution (election)DestinationsSettlement (finance)RefugeeInternal migration
DOInot available

Abstract

fetched live from OpenAlex

This study examines changes in the geographic concentration of Canada's major immigrant groups, with respect to their initial destination and subsequent redistribution during the past two decades. At the same time, it examines the role of pre-existing immigrant communities in determining immigrants' locational choices. The results show a large rise in concentration levels at the initial destination among major immigrant groups throughout the 1970s and 1980s; this subsided in the following decade. Redistribution after immigration was generally small-scale, and had inconsistent effects on changing concentration at initial destinations among immigrant groups and across arrival cohorts within an immigrant group. Even for immigrant and refugee groups whose initial settlement was strongly influenced by government intervention, redistribution only partly altered general geographic distribution. Finally, this study finds that the size of the pre-existing immigrant community is not a significant factor in immigrant locational choice when location fixed effects are accounted for.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.026
GPT teacher head0.329
Teacher spread0.303 · 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 designObservational
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

Citations7
Published2005
Admission routes1
Has abstractyes

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