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Record W2792072942 · doi:10.1080/09649069.2018.1444446

Domestic violence and high conflict are not the same: a gendered analysis

2018· article· en· W2792072942 on OpenAlexaffabout
Beth Archer‐Kuhn

Bibliographic record

VenueJournal of Social Welfare and Family Law · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDomestic violenceCriminologySociologyPolitical scienceInjury preventionPoison controlMedical emergencyMedicine

Abstract

fetched live from OpenAlex

In child custody decision-making experiences of domestic violence and high conflict are not the same. Legislative reform has not yet been guided by the parent voice to inform differentiated responses that keep women and children safe. Available literature in child custody decision-making focuses on outcome research regarding children’s adjustment and well-being. Debates about types of post-separation arrangements have yet to find agreement in three under-researched areas: (a) high conflict, (b) domestic violence; and (c) children under four. Yet, Canadian legislation supports shared parenting arrangements that privilege the dominant, powerful parent in situations of domestic violence. Based on a Canadian study that explores the parent perspectives and experiences of child custody decision-making, this paper privileges a sub-group of participants; five women, all survivors of domestic violence; defined here as both physical violence and coercive control. Data collection includes one-on-one tape-recorded interviews. Thematic analysis reveals that shared parenting is neither the goal, nor does it meet the needs of these women. The findings illuminate the importance of differentiating parent experience as distinct groups, and reinforces the notion of the state’s role in the reproduction of gendered power. Legislative reform and collaborative community practices are critical to facilitate healthy differentiated responses.

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 categoriesScience and technology studies
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 score0.922
Threshold uncertainty score0.999

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 studies0.0020.002
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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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 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

Citations32
Published2018
Admission routes2
Has abstractyes

Explore more

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