Review of Evidence-based Psychotherapy: Where Theory and Practice Meet.
Bibliographic record
Abstract
Reviews the book, Evidence-based Psychotherapy: Where Theory and Practice Meet edited by Carol D. Goodheart, Alan E. Kazdin, and Robert J. Sternberg (see record 2006-02969-000). The distinguished editors and authors of Evidence-Based Psychotherapy: Where Theory and Practice Meet have created an intellectual atmosphere in the book that paves the way for generative development of evidence-based practice (EBP) in psychotherapy in the future. The book is organized into three sections: 1) "The Practice Perspective," 2) "The Research Perspective," and 3) "Training, Policy, and Cautions." This book is an important addition to the debate on EBP in psychotherapy and highlights issues that extend well beyond the role of psychotherapy in EBP. It is highly recommended for practitioners and researchers alike and is likely to invite thoughtful questioning and reflection on core assumptions at both ends of the spectrum. Moreover, the book would serve as a useful primer on the issues germane to EBP in psychotherapy training for graduate students and psychiatric residents. (PsycINFO Database Record (c) 2010 APA, all rights reserved).
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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 | 0.019 | 0.089 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".