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Record W7033087199

Partner Assault Response (PAR) Programs for Women An Ethical Dilemma

2024· article· en· W7033087199 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceCriminalizationTypologyDilemmaEconomic JusticeCriminal justicePoison controlSuicide prevention
DOInot available

Abstract

fetched live from OpenAlex

This presentation explores the ethical dilemma facing Partner Assault Response (PAR) Programs for women charged with Domestic Violence (Intimate Partner Violence) in Ontario. It is based on the experiences of The Men's Program (CMHA Grey Bruce), which has provided PAR groups for men since 1989. Women facing domestic violence related charges are increasingly mandated to attend PAR Programs to fulfil their probation, early intervention, or 810 peace bond conditions. In 2016 as part of the contractual agreement with the Ministry of the Attorney General (MAG), the Men’s Program was required to provide PAR groups for women. The PAR program was original created for men. It’s founding principles and expectations are based on a feminist analysis with the goal of ending violence against women and children. The Men’s Program resisted offering PAR for women because relationship violence by women against men is different in nature than violence by men against women (Michael Johnson, Typology of Violence 2008). Offering PAR for women creates various ethical dilemmas from the feminist perspective because: Women who are charged with DV often have long histories of physical and sexual violence and may still be living with an abusive partner Women are more likely than men to admit their violent behaviour and are consequently more likely to be charged, Women involved with the criminal justice system need support, strategies for empowerment, safety, and ways to move forward in their lives without being charged again. Although we recognize that women benefit from support and counselling, involvement in the PAR program usually follows the criminalization of their resistance to relationship violence. The cumulative effect of women’s involvement in the criminal justice system regularly causes further harm and trauma by undermining their resilience and autonomy, increasing isolation, risking job loss, threatening access to children and increasing their economic vulnerability. The expansion of PAR programing for women reflects a gender-neutral approach to mandatory charging but leads to further women's oppression. As a result, despite being designed to increase women’s safety, PAR programs for women risk colluding with a justice system that further oppresses women. We will explore how a PAR Program (the Men's Program) collaborates with VAW services to meet these challenges while delivering Women’s PAR in Grey Bruce. Together we decided on a Violence and Trauma informed approach that pays particular attention to women's life stories, discussing the nature of gender based violence and its effects, and exploring avenues to support women's solidarity and empowerment. We also will highlight the need for fundamental differences between Men’s and Women’s PAR. Discussion will include: How and why women are charged with DV Common themes in women's stories of coercive control and sexual violence in context of their own use of violence towards partners The impacts of past trauma, violence, systemic oppression (Justice response, Child Welfare, Mental Health) on women and their children Alternatives to the present criminal justice approaches How to best support women and make system change

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.256
Teacher spread0.210 · 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 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
Published2024
Admission routes1
Has abstractyes

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