The ShadowBox Approach to Cognitive Skills Training
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
Unlike behavioral skills training, cognitive skills training attempts to impart concepts that typically depend on tacit knowledge. Subject-matter experts (SMEs) often deliver cognitive training, but SMEs are expensive and in short supply, causing a training bottleneck. Recently, Hintze developed the ShadowBox method to overcome this limitation. As part of the Defense Advanced Research Projects Agency’s Social Strategic Interaction Modules, Klein, Hintze, and Saab adapted the ShadowBox approach to train large numbers of trainees without relying on expert facilitators. As part of this program, we used the ShadowBox approach to train warfighters on the social cognitive skills needed to successfully manage civilian encounters without creating hostility or resentment. ShadowBox training was evaluated in two studies. Evaluation 1 provided 3 hr of nonfacilitated, paper-based training to Marines at Camp Pendleton and Camp Lejeune ( N = 59), and improved performance (i.e., match to the SME rankings) by 28% compared to a control group. Evaluation 2 provided 1 hr of nonfacilitated training, administered via Android tablet, to soldiers at Fort Benning ( N = 30) and improved performance by 21%. These results, both statistically significant, suggest ways to use scenario-based training to develop cognitive skills in the military.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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