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Record W1581067870

When For Better Is For Worse: Immigration Law’s Gendered Impact on Foreign Polygamous Marriage

2012· article· en· W1581067870 on OpenAlexaboutno aff
Sarah L. Eichenberger

Bibliographic record

VenueDuke Law Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration lawLawWifePolitical scienceGender studiesImmigration policySociology
DOInot available

Abstract

fetched live from OpenAlex

The United States has banned polygamous immigrants since the late nineteenth century. Enacted amid isolationist fears that an influx of polygamists would cause moral deterioration, the polygamy bar remains a resolute, if often overlooked, feature of modern immigration law. The current immigration scheme continues this tradition, rendering immigrants who intend to practice polygamy in the United States categorically ineligible for legal-permanent-resident status. As a result, the immigration bar allows polygamous men to immigrate with a wife of their choosing and the children from each of their marriages. Their other wives, however, are deemed inadmissible to the United States. This Note explores the immigration bar’s disproportionate effect on the foreign wives of polygamous immigrants. In addition to precluding the other wives of polygamous immigrants from legal permanent-resident status, the current immigration bar also renders such women ineligible for humanitarian ingress. After offering a comparative analysis of how Canada and the United Kingdom reconcile their respective policies against polygamy with the burgeoning question of women’s rights, this Note proposes that Congress likewise treat foreign women in polygamous unions with a degree of equity.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.358
Teacher spread0.289 · 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.

Study designTheoretical or conceptual
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
Published2012
Admission routes1
Has abstractyes

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