Bibliographic record
Abstract
There is a current gap in the nomenclature of psychiatric in-patient services. There are few descriptions of types of in-patient care and over recent years the literature has abounded with debates concerning alternatives. However, it may be argued that these debates have been based on the creation of the ‘straw man’ of the psychiatric admission, which is only fit for knocking down. Although a post-war consensus has emerged concerning the need to abandon the Victorian asylums, this has often been misrepresented as the need to avoid in-patient admission. The poorly articulated and emotional concept of community care and its lack of clear and consistent definition in public policy and key legislation have contributed to this (Bulmer, 1987). Recent changes in our view of community care have led to a refining of the concept and a shift from its comforting appellations (Titmus, 1968) to a pragmatic approach that matches it to empirical experiences and new resources. This approach sees psychiatric services for adults as being based locally and provided by a spectrum of services – in-patient, residential and ambulatory (Department of Health, 1996) – based on best available evidence. This article has been written with these issues in mind. We will address the current problems of in-patient care and the current literature on alternatives and supplements to traditional in-patient units.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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".