Training for Heat-of-the-Moment Thinking: Ethics Training to Prepare for Operations
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
Military ethics training has tended to focus on imparting ethical attitudes and on improving deliberative moral decision-making through classroom instruction. However, military personnel can be exposed to extreme conditions on operations, which can lead to heat-of-the-moment thinking. Under stress, individuals are more likely to engage in automatic processing than deliberative processing, and visceral states such as anger and disgust can increase a person’s risk of behaving unethically. We propose that military ethics training could be improved by reinforcing classroom ethics training with interventions to counteract these risk factors. As training interventions, we recommend incorporating affect-labeling, goal-setting, and perspective-taking into realistic, pre-deployment training to make moral decision-making more robust against stress and other emotional experiences typical in combat. We outline steps researchers and trainers can take to test whether these interventions have the desired impact on ethical behavior.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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