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Record W3108450813 · doi:10.1002/9781394258949.ch4

Generalized Anxiety Disorder

2017· article· en· W3108450813 on OpenAlexaff
Karen Rowa

Bibliographic record

VenuePsychopathology · 2017
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsToronto Metropolitan UniversityMcMaster University
Fundersnot available
KeywordsGeneralized anxiety disorderAnxietyPsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Generalized anxiety disorder (GAD) is characterized by excessive worry about a variety of topics. In addition to the presence of uncontrollable and persistent worry, the diagnosis of GAD requires the presence of at least three out of six symptoms reflecting physiological or psychological arousal that accompany the worry. These include feeling keyed up, restless, or on edge; difficulty concentrating or having one's mind go blank due to worry; disrupted sleep due to worry; muscle tension; irritability; and fatigue. To understand the psychopathology of generalized anxiety disorder, one needs to view it from a biopsychosocial perspective. This chapter reviews research findings on the neurobiology and psychophysiology of GAD and the social and psychological correlates of this disorder. Individuals with GAD may have difficulties with emotion regulation. More specifically, individuals with GAD may experience more intense emotions; have more difficulty naming, understanding, and accepting emotions; and demonstrate difficulty regulating negative emotions that do occur.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.004

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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
GenreEmpirical

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

Citations7
Published2017
Admission routes1
Has abstractyes

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