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Record W3191355350 · doi:10.1177/23328584211037253

The Relationship Between Immigration Enforcement and Educational Attainment: The Role of Sanctuary Policies

2021· article· en· W3191355350 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

VenueAERA Open · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
FundersInstitute of Education Sciences
KeywordsImmigrationDeportationEnforcementEducational attainmentLaw enforcementPolitical scienceState (computer science)CriminologyImmigration policyPublic administrationPoliticsDemographic economicsEconomic growthSociologyLawEconomics

Abstract

fetched live from OpenAlex

This study explores the association between sanctuary policies and the high school completion and college enrollment of Hispanic undocumented youth. Sanctuary policies, which city, county, and/or state governments implement, prohibit local political leaders and police officials from cooperating with federal immigration enforcement officers regarding the questioning, detention, and deportation of undocumented immigrants. This study uses data from the American Community Survey and applies a difference-in-differences design. On average, my preferred specification detected no association with high school completion or college enrollment. These findings suggest that although these policies may help counteract immigration enforcement, they may not reduce uncertainty enough to have a significant relationship with educational outcomes.

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)0.000
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 score0.411
Threshold uncertainty score0.495

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 head0.045
GPT teacher head0.378
Teacher spread0.332 · 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