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Record W1537590810

Chronic Low Income and Low-income Dynamics Among Recent Immigrants

2007· preprint· en· W1537590810 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.017
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