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Record W2224531500

Forced Dependency and Legal Barriers: Implications of the UK's Immigration and Social Security Policies for Minoritized Women Living in Abusive Intimate Relationships in Northern Ireland

2015· article· en· W2224531500 on OpenAlexaff
Mónica McWilliams, Priyamvada Yarnell, Molly Churchill

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsImmigrationPolitical scienceAutonomyImmigration policyGender studiesRefugeeHuman rightsSociologyCriminologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the complexities of the help-seeking process of minoritized women (primarily asylum-seekers and immigrants) experiencing domestic violence in Northern Ireland. The term ‘minoritized’ is used here to emphasize that “minority” status is not a static or innate trait of certain groups but instead is the outcome of a process of being positioned as a minority. The paper addresses the intersections of ethnicity, nationality, class and gender and shows how state policies in relation to immigration and social security reinforce inequalities in gendered power relations. Despite attempts to improve the social security and immigration systems, the findings from a Northern Ireland study show how recent policy changes have not addressed the systemic institutional racism and institutionalised patriarchy in these agencies. Where avenues for action are undermined by such practices, the policies raise concerns about the safety and protection of minoritized women living in abusive relationships. We argue that the UK is failing to meet its human rights responsibilities to provide adequate support and assistance to minoritized women in abusive relationships and conclude that delivering state accountability alongside a human rights framework based on security, autonomy, liberty and equality is what is needed. Este artículo analiza las complejidades del proceso de búsqueda de ayuda en Irlanda del Norte para mujeres pertenecientes a minorías (principalmente solicitantes de asilo e inmigrantes) que sufren violencia doméstica. El término 'minoritarizadas' se utiliza aquí para hacer hincapié en que la situación de "minoría" no es un rasgo estático o innato de ciertos grupos, sino que es el resultado de un proceso de ser posicionado como una minoría. El artículo aborda las intersecciones de origen étnico, nacionalidad, clase y género y muestra cómo las políticas estatales en relación a la inmigración y la seguridad social refuerzan las desigualdades en las relaciones de poder desde una perspectiva de género. A pesar de los intentos de mejorar los sistemas de seguridad social e inmigración, los resultados de un estudio de Irlanda del Norte demuestran que los cambios políticos recientes no han abordado el racismo institucional sistémico y el patriarcado institucionalizado en estos organismos. Estas prácticas debilitan las vías de acción emprendidas, sin embargo, las políticas generan interés sobre la seguridad y protección de mujeres pertenecientes a minorías que sufren abusos en sus relaciones. Se sostiene que el Reino Unido no está cumpliendo su responsabilidad de defender los derechos humanos para proporcionar apoyo y asistencia adecuada a estas mujeres que sufren relaciones abusivas y se llega a la conclusión de que es necesario ofrecer una responsabilidad estatal dentro del marco de los derechos humanos, basado en la seguridad, autonomía, libertad e igualdad. DOWNLOAD THIS PAPER FROM SSRN: http://ssrn.com/abstract=2700201

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.640

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0060.003
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.274
Teacher spread0.262 · 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 designQualitative
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

Citations13
Published2015
Admission routes1
Has abstractyes

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