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Record W7018698118

Domestic Violence, Precarious Immigration Status, and the Complex Interplay of Family Law and Immigration Law

2023· article· en· W7018698118 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigration lawImmigrationFamily lawImmigration policyContext (archaeology)Refugee law
DOInot available

Abstract

fetched live from OpenAlex

Survivors of domestic violence must frequently navigate multiple legal processes, as well as the various administrative systems that provide crucial supports and resources. For women with precarious immigration status, navigation is made all the more challenging not only because immigration and/or refugee law processes are added to the array of legal domains to be navigated, but because their access to supports and resources is both restrictive and in flux, shifting along with the changes in their immigration status.\nDrawing from interviews with experienced lawyers and case law searches, I explore many of the intersections between family law and immigration law in cases of domestic violence. The picture that emerges is one of profound cross-domain influences: the mere existence of a\nfamily law legal proceeding, the evidence adduced, the findings made, and the outcome will each bear on decisions taken in the immigration realm, including whether a survivor will be removed from Canada, with or without her children. Similarly, a survivor’s precarious immigration status impacts family law decision-making in a multiplicity of ways, including in assessing allegations of “family violence” and in contextualizing the challenges of mothering in the context of deportability, both of which have enormous consequence for the safety and well-being of survivors and their children.\nAs the lawyers interviewed made abundantly clear, the complex interplay of these domains and the grave harms that can materialize when there is lack of coordination calls out not only for experienced legal counsel in each domain, but intense collaboration and cooperation between counsel. The reality on-the-ground however is that the failure of many system actors to appreciate how actions taken in one domain will reverberate materially in another and the inadequacy of funding for representation in each of family law and immigration law and virtually no funding and no structure to support collaboration, significantly impair survivors’ access to justice.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.031
Scholarly communication0.0090.007
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.325
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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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