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Record W7075589925

Specificity of the Social Interaction Self-Statement Test in Social Phobia

2001· article· en· W7075589925 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

VenueDigital Commons@Trinity (Trinity University) · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsTrinity College
Fundersnot available
KeywordsBeck Depression InventoryBeck Anxiety InventorySocial anxietyAnxiety disorderAnxietySocial relationPsychometricsScale (ratio)Phobic disorder
DOInot available

Abstract

fetched live from OpenAlex

The specificity of the Social Interaction Self-Statement Test (SISST) was evaluated in sample of 277 patients seeking treatment for anxiety. Both the positive and negative scales significantly discriminated between patients diagnosed with social phobia and other anxiety disorder patients. Patients with social phobia scored significantly higher on the negative scale and significantly lower on the positive scale as compared with other treatment-seeking anxiety disorder patients. Negative SISST scores were significantly correlated with the Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI). The positive scale was significantly correlated with the BDI. Despite this relationship, differences in BAI and BDI scores did not account for SISST findings. The present study provides further support for the use of the SISST with clinical populations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.053
GPT teacher head0.218
Teacher spread0.165 · 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