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Record W1506144925 · doi:10.1002/9781118753378.ch54

Anxiety Disorders: Social Anxiety Disorder and Specific Phobia

2015· other· en· W1506144925 on OpenAlexaff
Randi E. McCabe, Heather K. Hood, Martin M. Antony

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsToronto Metropolitan UniversityMcMaster University
Fundersnot available
KeywordsAnxietySpecific phobiaPhobiasSocial anxietyComorbidityPsychologyAnxiety disorderClinical psychologyPsychosocialPhobic disorderPsychiatryGeneralized anxiety disorder

Abstract

fetched live from OpenAlex

Phobias are the most common of the anxiety disorders and are among the most common of all mental disorders. The introduction of social phobia to the diagnostic nomenclature has led to a slow but steady increase in research on the disorder, so that social phobia has now become a popular topic of study among researchers on anxiety disorders. Social anxiety disorder and specific phobia have both overlapping and distinguishing diagnostic and clinical features. This chapter reviews the definitions and diagnostic features of the disorders as well as assessment methods. An overview of the clinical features of the disorders includes their epidemiology, comorbidity patterns, and course. The chapter provides a review of etiological pathways and pathophysiology. This is followed by another review of somatic and psychosocial treatments for social anxiety disorder and specific phobia.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.007

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 head0.028
GPT teacher head0.320
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2015
Admission routes1
Has abstractyes

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