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Record W3037372995 · doi:10.1353/ces.2020.0012

Quality of Life of Immigrants in Canada

2020· article· en· W3037372995 on OpenAlexvenueaboutno aff
Parveen Nangia, Kelly Gingrich

Bibliographic record

VenueCanadian ethnic studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationQuality of life (healthcare)Index (typography)Quality (philosophy)Demographic economicsPsychologyGerontologySociologyGeographyMedicineEconomics

Abstract

fetched live from OpenAlex

Quality of life research is a key component of policymaking. Research on this topic can embrace two approaches––social or health-related perspectives. With a focus on the social aspect, this study uses cross-sectional data from the Canadian Community Health Survey to explore differences in the level of satisfaction and quality of life of immigrants and non-immigrants. To examine changes over time, recent immigrants are compared with earlier immigrants who are further compared with non-immigrants. Some subjective indicators are selected from the available data and an index of quality of life is computed using the methodology developed by the United Nations Development Program for measuring human development. Findings of the study show that among the three groups, earlier immigrants are least satisfied with life in general but most satisfied with their financial situation. The score on the quality of life index is lowest for earlier immigrants mainly due to deterioration in their health. Non-immigrants enjoy the best quality of life attributed particularly to their higher income and participation in leisure and social activities.

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)0.003
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 score0.094
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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 head0.316
GPT teacher head0.449
Teacher spread0.133 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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