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Record W1537590810

Chronic Low Income and Low-income Dynamics Among Recent Immigrants

2007· preprint· en· W1537590810 on OpenAlexaff
Simon Coulombe, Feng Hou, Garnett Picot

Bibliographic record

VenueRePEc: Research Papers in Economics · 2007
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsImmigrationDemographic economicsEducational attainmentPovertySurvey of Income and Program ParticipationCensusEconomicsEconomic growthPolitical scienceSociologyPopulationDemography
DOInot available

Abstract

fetched live from OpenAlex

The deteriorating economic outcomes among immigrants entering during the 1980s and 1990s have prompted much public concern and policy debate. In 1993, immigrant selection procedures were further modified to increase immigrants' educational attainment and the share of immigrants in the economic class. By 2000, dramatic increases in the educational attainment of entering immigrants and the share in the skilled class were observed. In the face of these and other changes, this research focuses on three issues: (1) whether entering immigrants economic outcomes improved after 2000 (the last date for which we have such information from the census), (2) low-income dynamics among successive cohorts of entering immigrants, including changes in the entry and exit probabilities, and the extent of low income among successive cohorts, and, (3) whether rising educational attainment and increasing share in the class resulted in improvements in economic outcomes as measured by poverty entry, exit and chronic low income.

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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.329
Teacher spread0.312 · 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

Citations111
Published2007
Admission routes1
Has abstractyes

Explore more

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