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Anxiety Disorders

2010· other· en· W4242523612 on OpenAlex
Martin M. Antony

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Corsini Encyclopedia of Psychology · 2010
Typeother
Languageen
FieldHealth Professions
TopicHealth and Medical Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAnxietyDistressPsychiatryPsychologyPopulationClinical psychologyAnxiety disorderMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Anxiety Disorders are among the most prevalent of psychological disorders, affecting up to 20% of the population. The key features shared by anxiety disorders include excessive or unrealistic fear and anxiety, avoidance of feared objects and situations, and excessive attempts to reduce discomfort or to protect oneself from potential threat. In addition, for an anxiety disorder to be diagnosed, the person has to report clinically significant distress over having the anxiety symptoms, or the symptoms have to cause significant interference in the individual's life. Indeed in severe cases, people with anxiety disorders may be unable to work, develop relationships, or even leave their homes. Anxiety disorders often pose an enormous burden on society. For example, they often lead to lower work productivity and considerable increases in health care utilization (Kessler, Ruscio, Shear, & Wittchen, 2009).

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.001

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.

Opus teacher head0.033
GPT teacher head0.445
Teacher spread0.412 · 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