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Record W2052414838 · doi:10.1002/da.10051

Instrument to assess depersonalization-derealization in panic disorder

2002· article· en· W2052414838 on OpenAlex

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

VenueDepression and Anxiety · 2002
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsMcMaster UniversityUniversity of Manitoba
Fundersnot available
KeywordsDerealizationDepersonalizationPanic disorderAnxietyPsychologyClinical psychologyPanicAnxiety disorderReliability (semiconductor)PsychometricsPsychiatryBurnoutEmotional exhaustion

Abstract

fetched live from OpenAlex

There is a long history of scholarly interest on depersonalization-derealization (DD) and its role in clinical anxiety, but there is a paucity of appropriate assessment instruments available. Our objective was to develop and evaluate a self-report measure of DD for use with clinically anxious patients. Panic disorder patients (n=169) were surveyed about DD experiences and provided data on a new item pool for psychometric development. DD episodes were common and a 28-item Depersonalization-Derealization Inventory was found to possess good reliability and validity. DD appears to be prevalent and clinically relevant in panic disorder. Continued study of DD is warranted and may be facilitated by the availability of a suitable instrument with promising psychometric properties. A 12-item version of the instrument may be appropriate as a brief screen.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.281
Teacher spread0.250 · 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