The Dangers of Shared Care Legislation: Why Australia Needs (Yet More) Family Law Reform
Bibliographic record
Abstract
Agitation for parenting reform has become a prominent feature of family law policy debates in recent years. Many countries, such as England and Canada, have proceeded cautiously in response to such demands. Australia, on the other hand, opted for a bolder step and enacted a suite of shared parenting amendments in 2006, including a presumption of ‘equal shared parental responsibility'. The Shared Parental Responsibility Act was designed to facilitate substantial, if not equal, involvement by both parents in children's lives following separation, provided this is safe. While conversations about the implications of this move continue to take place, the first empirical evidence of its impact on post-separation parenting patterns has now been published. Its data suggest the reforms have been successful in producing an increase in ‘substantially shared care arrangements’ since the legislation came into force. At the same time, however, the research indicates that a significant number of these arrangements are characterised by intense parental conflict, and that shared care of children is a key variable affecting poor emotional outcomes for children.
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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 | 0.028 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".