Bibliographic record
Abstract
This chapter covers psychosocial and physical health approaches to the management of bipolar disorder. These include psychosocial and physical health approaches to the condition that should be offered by every psychiatrist, as well as specialist psychological treatments delivered by psychological therapists. The approach outlined is supported by the National Institute for Care Excellence (NICE) in its 2014 clinical guideline for bipolar disorder as well as other clinical guidelines for bipolar disorder more recently published from Canada, Australia and New Zealand. Overall, the current best standard of practice for bipolar disorder is to adopt a collaborative proactive holistic approach attending to both mental health and physical health stability without the use of unnecessarily high doses of medication, particularly when they may impact on physical health. The approach should be consistent with the life goals and wishes of the person with bipolar disorder, convey a message of hope, and consider lifestyle and cognitive factors alongside symptoms and function. Bipolar disorder is a long-term condition where there is a potential for normal function and a high quality of life for many. A psychologically informed approach to management enables people with bipolar disorder to be proactive in their care, practice self-management and do their best.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.226 | 0.133 |
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".