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Record W1530044836

Problematic Post-Landing Interprovincial Migration of the Immigrants in Canada: From 1980-83 through 1992-95

2007· preprint· en· W1530044836 on OpenAlexaboutno aff
Kao‐Lee Liaw, Lei Xu

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationDemographic economicsBiological dispersalRefugeeGeographyPolitical scienceEconomic geographyEconomyDevelopment economicsEconomicsSociologyDemographyPopulation
DOInot available

Abstract

fetched live from OpenAlex

Based on the longitudinal Immigration Data Base, this research found that the post-landing interprovincial migration of newly landed immigrants led to a further concentration in Ontario and British Columbia. Underlying this pattern was the fact that each of these two provinces had a relatively strong economy, large immigrant communities, and a major international airport. This further concentration of relocating immigrants is problematic in the sense that it contributed to the weakening of the political powers of the economically weak provinces. With respect to immigration classes, the interprovincial net transfer was much stronger for those in the investor, entrepreneur, and refugee classes than for those in the family and assisted relative classes. The research also suggested that the deconcentration and widespread dispersal in the 1995-2000 interstate migration of the immigrants in the U.S. can not serve as a harbinger for a general reversal in the interprovincial migration of immigrants in Canada.

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)0.003
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 score0.032
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicMigration and Labor DynamicsFrench-language works237,207