Bibliographic record
Abstract
Re-Visioning Psychiatry explores new theories and models from cultural psychiatry and psychology, philosophy, neuroscience and anthropology that clarify how mental health problems emerge in specific contexts and points toward future integration of these perspectives. Taken together, the contributions point to the need for fundamental shifts in psychiatric theory and practice: • Restoring phenomenology to its rightful place in research and practice • Advancing the social and cultural neuroscience of brain-person-environment systems over time and across social contexts • Understanding how self-awareness, interpersonal interactions, and larger social processes give rise to vicious circles that constitute mental health problems • Locating efforts to help and heal within the local and global social, economic, and political contexts that influence how we frame problems and imagine solutions. In advancing ecosystemic models of mental disorders, contributors challenge reductionistic models and culture-bound perspectives and highlight possibilities for a more transdisciplinary, integrated approach to research, mental health policy, and clinical practice.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".