Developing a shared research agenda for working with families where a parent has a mental illness
Bibliographic record
Abstract
The purpose of this paper is to identify a shared, international and inter-disciplinary research agenda amongst practitioners, researchers and administrators, in relation to families where a parent has a mental illness. Fifty-seven participants, identified as key informants were invited to respond to the following query: “What key research question(s) do you want answered that if answered would help to significantly improve services to families where a parent has a mental illness?” 144 responses were qualitatively analyzed by three members of the research team. In order of frequency, the resulting research agendas were: (i) service re-orientation, (ii) interventions (iii) risk and protective factors, (iv) parent, child and family feedback and involvement, (v) stigma and (vi) reach and access. Overall, this study provides an indication of priority research areas, which according to stakeholders are most in need of investigation.
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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 | 0.001 | 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) | 0.000 | 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".