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Record W2416822448 · doi:10.1177/02698811000142s103

Fear: The Impact and Treatment of Social Phobia

2000· review· en· W2416822448 on OpenAlexaff
John R. Walker, Kevin Kjernisted

Bibliographic record

VenueJournal of Psychopharmacology · 2000
Typereview
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
FundersEli Lilly and Company
KeywordsPsychologyPsychiatryAnxietySpecific phobiaQuality of life (healthcare)Anxiety disorderSocial anxietyIntervention (counseling)Clinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.083
GPT teacher head0.487
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations16
Published2000
Admission routes1
Has abstractyes

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