Domestic Abuse in Financial Remedy Cases
Bibliographic record
Abstract
Whilst domestic abuse is one of the issues currently at the top of the family law agenda, it is not as prominent in financial remedy work as it is in children work and professional discussion is limited. While there has been very little research on domestic abuse in financial proceedings in England and Wales (or indeed, anywhere else), the research that does exist suggests that issues of domestic abuse may be present in a significant proportion of financial proceedings, with approximately one third of contested cases and one quarter of consent order cases containing some conduct which amounts to domestic abuse. The aim of this article is to explore how family justice professionals working in the field of financial remedies can identify where domestic abuse may be present and, the ways in which economic abuse and coercive and controlling behaviour may be relevant in such proceedings. In addition, we make a number of suggestions as to how family justice professionals should approach a financial remedies case when issues of domestic abuse might be raised.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.062 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".