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Record W2057289396 · doi:10.1111/1468-2435.00254

Family Change and Economic Well‐being in Canada: The Case of Recent Immigrant Families with Children

2003· article· en· W2057289396 on OpenAlexaffabout
Jianye Liu, Don Kerr

Bibliographic record

VenueInternational Migration · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsImmigrationDemographic economicsContext (archaeology)Government (linguistics)DemographySociologyEconomicsDevelopment economicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Abstract This paper examines the relationship between family change and economic well‐being among recent immigrant families with children to Canada during the 1977 to 1997 period. Whereas the average income to needs ratio of all Canadian families with children is up modestly over this period, this study documents a substantial decline in the average level of economic well‐being of recent immigrants. In this context, this study draws attention to the relevance of not only structural explanations that emphasize the role of labour markets and/or government policy in shaping the economic conditions of immigrants, but also the potential impact of shifts in the living arrangements and family structure of immigrants. More specifically, an increased incidence of lone parenthood has had a net negative impact on the economic well‐being of immigrants, albeit not to the same extent as among non‐immigrants in Canada. Yet, other changes have had a slight positive impact, including an ongoing decline in the average number of children per family, an upward shift in the age distribution of parents, and a slight increase in the tendency of immigrants to co‐reside with family members beyond the immediate nuclear family.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.245
Teacher spread0.231 · 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

Citations13
Published2003
Admission routes2
Has abstractyes

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