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Record W889274989 · doi:10.58948/2331-3536.1358

Fleeing Cuba: A Comparative Piece Focused on Toro and the Options Victims of Domestic Violence Have in Seeking Citizenship in the United States and Canada

2015· article· en· W889274989 on OpenAlexaboutno aff
Kiersten M. Schramek

Bibliographic record

VenuePace international law review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsEleventhCitizenshipPolitical scienceDomestic violenceRefugeeLawCriminologySociologyPoison controlSuicide preventionMedicineEnvironmental health

Abstract

fetched live from OpenAlex

The United States Court of Appeals for the Eleventh Circuit decided a case on February 4, 2013 that has undoubted international implications. Toro v. Sec’y dealt with the language of the Cuban Refugee Adjustment Act of 1966 (CAA) and the provisions of the Violence Against Women Act (VAWA). This article focuses on how and why the court reached its decision. It analyzes the conflict between the “plain language” of the CAA and its statutory construction to rebut the court’s assertion that the VAWA self-petition was irrelevant in this case, and ultimately, offer an alternative analysis to this case. This article also explores Canadian immigration law and demonstrates the difference in that nation’s law, as applied to domestic violence survivors, from Unites States immigration law. Finally, this article discusses how this precedent will affect the future of immigration law and its effect on natives of other countries.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.152

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.055
GPT teacher head0.351
Teacher spread0.296 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2015
Admission routes1
Has abstractyes

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