Introducing the North American Association of Practicum Sites in Neuropsychology (NAPSN): development of a new organization devoted to facilitating high quality practicum training
Bibliographic record
Abstract
Introduction: In February 2023, a work group began to develop a new North American organization in neuropsychology to represent and support practicum-training sites. While other training-focused organizations such as the Association of Postdoctoral Programs in Clinical Neuropsychology (APPCN) and the Association of Internship Training in Clinical Neuropsychology (AITCN) have existed for many years, no organization exists to promote and support practicum level training outside of doctoral degree programs. The work group developed such an organization, subsequently named the North American Association of Practicum Sites in Neuropsychology (NAPSN), beginning with a mission statement and general purpose of the organization. Methods: The work group divided members into five task forces focused on various tasks needed to start the organization, including Mission/Vision, Administrative Structure, Membership, Financials, and Bylaws. The entire work group met monthly with additional meetings and work via email for the various task forces, which resulted in the development of a mission statement and bylaws, as well as a framework for program administration, membership requirements and financial needs. Conclusions: The group developed NAPSN primarily as a resource to support diverse practicum programs in urban, suburban, and rural areas in the US and Canada to provide optimal graduate level clinical training in neuropsychology. Didactics aimed specifically at practicum students was one need identified early in the process. NAPSN is developing a website-based resource in collaboration with other training organizations to increase the didactic offerings to practicum students. Other initiatives and collaborative efforts will be undertaken over time as circumstances warrant.
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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 | 0.006 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| 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".