Bibliographic record
Abstract
Management of Mental Disorders, 5th Edition (MMD5) is an innovative book that provides practical guidance in recognizing and treating mental disorders. The fifth edition has been revised by experts and is a compilation of the best practices in mental health circa 2013. MMD5 outlines the steps required for proper assessment and focuses on how to implement the many effective treatments that are now available. This book also includes resource materials, such as outcome measures, worksheets, and information pamphlets for individuals with mental disorders and their families. MMD5 is designed to complement the skills of busy clinicians and for use as a textbook for undergraduate and graduate students. The design of the fifth edition-core assessment and clinical skills and sections on the internalizing, externalizing, psychotic, neurodevelopmental, and neurocognitive clusters of disorders-is based on papers prepared for the discussions of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and the International Classification of Diseases, 11th Edition (ICD-11) working groups. These papers presume that disorders within each of these five clusters share genetic risk factors, familiarity, specific environmental risk factors, neural substrates, biomarkers, temperamental antecedents, abnormalities of cognitive or emotional processing, symptom similarity, high rates of comorbidity, course of illness, and treatment response that differ in important ways from disorders within the other four clusters. The clusters are not intended to replace existing diagnostic criteria but rather are used to facilitate the identification of possible relationships between disorders in terms of the risk and clinical factors. The present edition is the first to make the five-cluster structure of mental disorders explicit. Management of Mental Disorders is a publication of the Clinical Research Unit for Anxiety and Depression (CRUfAD), University of New South Wales (UNSW) School of Psychiatry at St Vincent's Hospital, Sydney, Australia. CRUfAD has produced treatment protocols for 30 years, first for the Royal Australian and New Zealand College of Psychiatrists and then with the Division of Mental Health, World Health Organization, Geneva. Country specific versions of previous editions of the Management of Mental Disorders were produced for New Zealand, Canada, the United Kingdom, China, and Italy. This fifth edition is published in both printed and electronic form.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.037 |
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".