Are We in this Together? Post-Separation CopParenting of Fathers With and Without a History of Domestic Violence
Bibliographic record
Abstract
This paper explored features of post-separation co-parenting from men’s perspectives, in groups with and without a history of domestic violence (DV) perpetration. Thematic analysis was used to examine interviews of 20 fathers, half with a documented history of DV. The results showed substantial differences between groups. Among fathers with no history of DV, three themes were created: (1) I value my ex-partner’s involvement with our child, (2) We’re good as co- parents, and (3) How we co-parent impacts our child. Two themes were created for DV fathers: (1) My ex-partner is a bad mother and (2) She’s responsible for our difficulties co-parenting. Results indicate the need for policy and practice to reflect that the end of an abusive romantic relationship does not necessarily predict functional co-parenting or end child exposure to conflict. Furthermore, particular features may belie distressed co-parenting and could be useful to identify when assessing risk for post-separation DV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".