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Record W4400224392 · doi:10.3386/w32635

The Intergenerational Effects of Permanent Legal Status

2024· report· en· W4400224392 on OpenAlexfundno aff
Elizabeth Cascio, Paul Cornell, Ethan Lewis

Bibliographic record

VenueNational Bureau of Economic Research · 2024
Typereport
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersUniversity of TorontoDartmouth CollegeU.S. Department of Justice
KeywordsLegal statusDemographic economicsPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

We estimate the effects of permanent legal status on the health of children born to immigrants in the United States using variation from the Immigration Reform and Control Act of 1986 (IRCA).Our empirical approach compares trends in birth outcomes for foreign-born Mexican mothers across counties with different application rates under IRCA's large-scale legalization programs.Maternal legalization raised birthweight.Effects arose immediately after the application process began -five years before affected women became Medicaid-eligible -suggesting causal mechanisms besides improved access to early prenatal care.Changes in the composition of births, stemming from changes in fertility and family reunification, contribute to but far from fully explain the birthweight impacts.The more likely mechanisms were instead the increases in family income and reductions in stress that came from gaining legal status.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.292
GPT teacher head0.574
Teacher spread0.282 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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