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Record W7028988546

The Intersection of Child Protection and Family Law Systems in Cases of Domestic Violence

2023· article· en· W7028988546 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Specialized Academic Research
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceJurisdictionHarmFamily lawChild protectionGovernment (linguistics)Best interestsPoison controlState (computer science)Function (biology)
DOInot available

Abstract

fetched live from OpenAlex

Both the child protection and the family law systems are intended to promote the best interests of children, and both can profoundly affect the relationships between children and their parents or caregivers. Over the past two decades, both systems have also accorded more weight in the assessment of best interests to how exposure to domestic violence can harm or place children at risk. However, these systems have evolved differently, are governed by different statutes, and are administered in different ways. Child protection proceedings purport to have primarily a protective function and invariably involve a public agency, while family law proceedings, under the Divorce Act and similar provincial and territorial statutes, typically involve disputes between private litigants. In this article, I compare the impact of the two systems in cases involving allegations of domestic violence, highlighting the challenges within each, the differences between them in their identification and response to domestic violence, as well as the problematic ways in which the systems interact and generate contradictory pressures for survivors, most often mothers. While I reference research findings in other jurisdictions, my inquiry is focused on Saskatchewan, a jurisdiction with relatively high rates of children in state care and the highest rate of domestic violence of all provinces. I draw on multiple sources that include extensive in-person interviews with legal professionals, government employees and service providers. I argue that the tensions and contradictions experienced by those affected by domestic violence could be mitigated by the provision of adequate and appropriate preventative and legal supports in both systems along with information and procedural protocols, more uniform understandings of domestic violence and adequate training for all court and Ministry personnel in the dynamics of domestic violence, the impact of systemic inequalities and the specific issues arising at the intersection of both systems.

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)0.011
metaresearch head score (Gemma)0.026
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 score0.172
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.026
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0130.039
Scholarly communication0.0120.006
Open science0.0020.015
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.264
Teacher spread0.226 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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