Predoctoral prescriptive authority curricula: A training option
Bibliographic record
Abstract
The purpose of the current article is to encourage discussion among stakeholders about the viability and benefits of predoctoral prescriptive authority (RxP) training. The existing APA model curriculum for RxP training requires that such training is postdoctoral. However, predoctoral models are potentially viable and offer several distinct advantages: reducing the time and financial costs of training, attracting more applicants with a biopsychosocial orientation, and, as more individuals complete this training, enlarging the constituency for state prescriptive authority initiatives. Several possible predoctoral model curricula including the incorporation of a postdoctoral master's degree in clinical psychopharmacology are described within existing APA PhD program requirements, with suggested accommodations for PsyD programs. These are offered as alternatives to, rather than as replacements for, postdoctoral training for RxP.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".