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Record W4386268310 · doi:10.21428/cb6ab371.5d329d88

“This Isn’t Justice”: Abused Women Navigate Family Law in Greater Vancouver

2022· preprint· en· W4386268310 on OpenAlexaboutno aff
Wendy Chan, Rebecca Lennox

Bibliographic record

VenueCrimRxiv · 2022
Typepreprint
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeCriminologyFamily lawLawSociologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

With the implementation of the Family Law Act in 2013, the family legal system in British Columbia saw a series of progressive reforms. These include the recognition of emotional, psychological, and financial control as family violence, a new protection order process to replace the limited restraining orders formerly available to abuse victims, a mandate that courts consider how exposure to family violence impacts children, and minimum mandatory training standards for family dispute resolution professionals. While there has been a great deal of legal commentary on these new provisions, there is a paucity of scholarly research documenting the experiences of frontline workers who support abused women. We address this lacuna, drawing on in-depth interviews with family lawyers and frontline advocates who assist women exiting violent relationships in greater Vancouver. Our findings highlight the many challenges facing women in the family law system and suggest that the perceived unfairness many women experience is neither accidental nor uncommon. Rather, structural barriers to getting into the courtroom, in addition to widespread judicial ignorance about family law and family violence disadvantage women seeking just separations from abusive partners. To better meet the needs of abused women in greater Vancouver, increased funding for legal aid and support services, mandatory family violence training for judges making decisions on family files, and the transformation of victim-blaming attitudes within and beyond the courtroom are needed.

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 categoriesMeta-epidemiology (narrow), 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: none
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.052
GPT teacher head0.339
Teacher spread0.287 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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