Principles for training in evidence‐based psychology: Recommendations for the graduate curricula in clinical psychology.
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.
Bibliographic record
Abstract
We argue that the evidence-based practice (EBP) model represents an evolution in integrating science and practice and synchronizes well with broader trends in health care. Because the curriculum for EBP training involves explicit emphasis on the best empirical evidence within Clinical Psychology, it can be utilized by all programs, irrespective of theoretical orientation or training mission. We articulate four principles that speak to core training and foundational clinical supervision, to guide training using an EBP model. These principles can be integrated within the larger rubric of a program and can encourage more consistent curricular reliance on EBP. This approach to doctoral training could lead to greater consistency across training programs and bring science and practice closer together within Clinical Psychology.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.162 | 0.250 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it