Parenting is a Mental Health Issue
Bibliographic record
Abstract
OBJECTIVE: Increasing numbers of adults with a psychiatric disorder are also parents of dependent children. The present article aims to outline ways in which Fellows of the Royal Australian and New Zealand College of Psychiatrists (RANZCP) can assist in enhancing psychiatric care when a person with a mental illness also has parenting responsibilities. METHODS: The national Children of Parents With A Mental Illness (COPMI) initiative undertook consultations with consumers, carers, young people and a range of professionals to assist in development of documents and resource materials to enhance policy and practice. Communication and interaction with key psychiatrists' professional bodies to seek their advice and participation has been maintained throughout the project. RESULTS: The RANZCP Fellows have assisted the COPMI project in the development and dissemination of draft principles and recommended actions for services and people working with children of parents with a mental illness and their families, and in the development of associated resource materials. They are now considering a College position statement on this issue. CONCLUSIONS: If children of parents with a mental illness are to benefit from proposed enhancements to practice relating to services provided to their families, it is essential that psychiatrists themselves are involved in the development, implementation and review of good practice in this area.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 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".