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Record W2470864450

Immigration and Population in Canada: A Dependent Relationship Case Study of Cuban Immigration

2015· article· en· W2470864450 on OpenAlexaboutno aff
Ivis Gutiérrez

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationCensusEmigrationPopulationDemographic economicsImmigration policyGeographyPopulation growthPolitical scienceDemographyDevelopment economicsEconomic growthEconomicsSociology
DOInot available

Abstract

fetched live from OpenAlex

"The article examines the effects of immigration on the population dynamics of a traditional immigrant-recipient country, Canada. Data from the 2011 Canadian census suggest that Canadian popula- tion growth, as well as the stability of the economically active and reproductive-age population, largely depends on the steady arrival of new immigrants. Management of immigration flows to suit [domestic] development needs is therefore an essential component of Canadian policy regulating entry of new permanent residents. The Cuban immi- gration case study illustrates how Canadian migration regulations influence the sociodemographic features of a specific group of immi- grants and the impact that such movements may have on the devel- opment of traditional countries of emigration, such as Cuba, because of the loss of human potential."

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.264
Teacher spread0.230 · 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 teacher head, 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

Citations2
Published2015
Admission routes1
Has abstractyes

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