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Agoraphobia

2010· other· en· W4238928577 on OpenAlexaff
Randi E. McCabe

Bibliographic record

VenueThe Corsini Encyclopedia of Psychology · 2010
Typeother
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAgoraphobiaPsychologyPanicConceptualizationAnxietyPanic disorderAnxiety sensitivityClinical psychologyPsychiatryPsychotherapistComputer science

Abstract

fetched live from OpenAlex

Abstract Although the Greek word agoraphobia means fear of large open spaces, our current conceptualization of agoraphobia is far more situationally encompassing. The term was introduced by Westphal in 1871 in a case series of four men who presented with fears of large open spaces (Boyd & Crump, 1991). In the fourth edition of the American Psychiatric Association's (APA) Diagnostic and Statistical Manual of Mental Disorders (APA, 2000) agoraphobia is defined as anxiety about, or avoidance of, situations where help may not be available or where it may be difficult or embarrassing to escape the situation in the event of panic‐like symptoms or a full‐blown panic attack. Patterns of agoraphobic avoidance are variable with levels of avoidance ranging from just a few situations to an extensive range of situations. Commonly feared situations are listed in Table 1.

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: Other
Teacher disagreement score0.052
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0520.009

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 head0.025
GPT teacher head0.357
Teacher spread0.333 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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