Instigators of GenocideExamining Hitler From a Social-Psychological Perspective
Bibliographic record
Abstract
The question “What can social psychology tell us about the Holocaust?” is a difficult and complex one to answer. Perhaps it is fair to begin by saying that the Holocaust has influenced our understanding of social psychology more than the other way around. In the 1960s and early 1970s, seminal work in the field continued to be motivated by a need to understand the perpetrators of the Holocaust and other acts of collective violence. To this day, these studies represent social psychology's most salient demonstrations of situationism — a core tenet of the field that emphasizes the power of the situational forces over human behavior. This chapter discusses some of the ways in which genocide instigators differ from perpetrators and examines the most notorious genocidal and democidal instigator of the twentieth century, Adolf Hitler, from a social-psychological perspective. It demonstrates that even Hitler can be examined in terms of the same social-psychological principles used to describe and explain ordinary individuals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".