Bibliographic record
Abstract
Contemporary cognitive behavior therapy (CBT) comprises complex interventions that have demonstrated efficacy and/or are currently the evidence-based psychotherapeutic treatment of choice for many psychiatric disorders. This chapter discusses management of ethical issues that may arise during evidence-based CBT: initial assessment, informed consent, exposure-based therapy, out of office sessions, management of boundaries, homework, and risk management. The patient-therapist relationship and conceptualization of resistance during CBT are discussed. A crucial requirement of ethical mental health care is additional dissemination of CBT expertise. In this current era of specialization, interventions that target disorder specific symptoms and related difficulties (American Psychiatric Association,2013) show special promise. It is the ethical responsibility of clinicians regardless of orientation to be guided by current empirical research and their own specific areas of competence when making treatment recommendations. A priority for clinical research is further examination of the specific therapeutic ingredients that impact outcome and optimize recovery.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.019 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".