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Record W2109334837 · doi:10.1177/0145445503255489

A Brief Behavioral Activation Treatment for Depression

2003· article· en· W2109334837 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 · 2003
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsCovenant Health
Fundersnot available
KeywordsBehavioral activationContext (archaeology)Depression (economics)Intervention (counseling)PsychologyDepressive symptomsAffect (linguistics)PsychiatryClinical psychologyPsychotherapistCognition

Abstract

fetched live from OpenAlex

The brief behavioral activation treatment for depression (BATD) is a relatively uncomplicated, time-efficient, and cost-effective method for treating depression. Because of these features, BATD may represent a practical intervention within managed care-driven, inpatient psychiatric hospitals. Based on basic behavioral theory and empirical evidence supporting activation strategies, we designed a treatment to increase systematically exposure to positive activities and thereby help to alleviate depressive affect. This study represents a pilot study that extends research on this treatment into the context of an inpatient psychiatric unit. Results demonstrate effectiveness and superiority of BATD as compared with the standard supportive treatment provided within the hospital. A large effect size was demonstrated, despite a limited sample size. The authors discuss the limitations of the study and future directions.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.572

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 head0.211
GPT teacher head0.477
Teacher spread0.267 · 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