Self‐criticism predicts differential response to treatment for major depression
Bibliographic record
Abstract
The authors examined the relationship between self-criticism, dependency, and treatment outcome for 102 participants who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR; American Psychiatric Association, 2000) criteria for major depressive disorder. The participants were randomly assigned to receive either cognitive-behavioral therapy (CBT), interpersonal therapy (IPT), or pharmacotherapy with clinical management (PHT-CM) and completed the Depressive Experiences Questionnaire (Blatt, D'Affilitti, & Quinlan, 1976), a measure of self-criticism and dependency, as part of a broader research protocol. Regression analyses indicated that among individuals in IPT, self-criticism predicted poorer treatment outcome based on depressive symptom severity measured using the 17-item Hamilton Rating Scale for Depression (Hamilton, 1960, 1967). In addition, there were trends toward dependency predicting worse treatment response in CBT and self-criticism predicting better treatment response in PHT-CM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".