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Record W2166334807 · doi:10.1177/0145445500245002

Treatment of Gad

2000· article· en· W2166334807 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

VenueBehavior Modification · 2000
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversité LavalConcordia University
Fundersnot available
KeywordsPsychologyPsychotherapistDevelopmental psychology

Abstract

fetched live from OpenAlex

This study evaluates the efficacy of a cognitive-behavioral treatment for generalized anxiety disorder (GAD) that addresses two types of worries: (a) those about situations that are amenable to problem solving, and (b) those about situations that are not. The treatment's goal is to help patients become more tolerant of uncertainty by discriminating between both types of worry and applying the correct strategy to each type. A multiple baseline design was used and subjects were 4 adults with a primary diagnosis of GAD. Treatment outcome was assessed with daily self-monitoring, self-report questionnaires, and standardized clinician ratings. At posttest and 6-month follow-up, 3 of 4 subjects no longer met diagnostic criteria for GAD and had attained high end-state functioning. At 12-month follow-up, none of the subjects met GAD diagnostic criteria but end-state functioning was variable. The results also show that treatment outcome was highly related to change in intolerance of uncertainty.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score1.000

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)0.0060.001

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 head0.107
GPT teacher head0.401
Teacher spread0.294 · 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