The Complexity of Families Involved in High-Conflict Disputes: A Postseparation Ecological Transactional Framework
Bibliographic record
Abstract
The use of the term ‘high conflict’ to describe a wide range of family dynamics after separation and divorce has increased significantly over the years. At the moment, no consensus on the definition of high conflict exists. Lack of definitional clarity hinders the ability for legal and mental health professionals to assess, identify, and effectively intervene with this population. Based on a rapid evidence assessment of 65 empirically based social science studies relevant to high conflict, this article positions high-conflict separation and divorce using an ecological transactional model to better understand risk factors and indicators associated with these families. Authors propose a more comprehensive definition that captures the complexity and interactions of various risk factors and indicators on multiple levels. Positioning high-conflict families using an ecological model identifies several points of intervention professionals can use and the fundamental need for collaboration among stakeholders for effective intervention.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.023 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".