Bibliographic record
Abstract
Social phobia is the most common anxiety disorder in the community with a prevalence rate in the range of 5-8%. The problem most often emerges in childhood or adolescence. Individuals with generalized social phobia are at risk of developing other psychiatric disorders such as major depression, alcohol abuse and other anxiety disorders. Sufferers of social phobia often do not seek treatment until they encounter difficulty with comorbid disorders. Recent research indicates that social anxiety disorder is associated with higher levels of disability and greater reductions in quality of life than previously understood, with difficulties encountered in social relationships, education and employment. In previous years, there has been little or no known available effective treatment, and the disorder frequently goes unrecognized in primary care. However, new pharmacological (selective serotonin reuptake inhibitors, SSRIs) and psychological treatments are emerging that are able to produce significant symptom reduction and improvements in functioning and quality of life. In recent years, the SSRIs have been the focus of considerable research and are becoming one of the first-line treatments for social phobia. Early intervention in social phobia may improve quality of life, reduce disability and reduce the development of comorbid disorders.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".