A cognitive approach to persistent complex bereavement disorder (PCBD)
Bibliographic record
Abstract
Abstract Persistent complex bereavement disorder (PCBD) has been included in the appendix of the fifth edition of the Diagnostic and Statistical Manual for Mental Disorders as a condition for further study, and a new diagnostic category of prolonged grief disorder (PGD) is likely to be added to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) (Maercker et al., 2013). Whilst there is increasing evidence that prolonged grief has distinct characteristics (Bryant, 2012), there are clinical features that overlap with post-traumatic stress disorder (PTSD), such as intrusive memories, emotional numbing, and avoidance of trauma or loss reminders. Here we describe how the cognitive model for persistent PTSD (Ehlers and Clark, 2000) and trauma-focused cognitive therapy for PTSD (Ehlers et al., 2005) have been helpful in treating persistent complex grief.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".