The Dog that Stopped Barking: Mass Legal Executions in 21st Century America
Bibliographic record
Abstract
During the first two centuries of European colonization of what is now the United States, executions for a variety of offenses relatively frequently involved mass executions, that is, the execution for the same criminal incident of four or more persons. By the time of American independence, some of those crimes had largely ceased to exist or to elicit such punishment, like witchcraft and piracy. However, the punishment of slaves and Indians kept the percentage of executed persons involved in mass executions significant, if not large. During the last quarter of the 19th and first six decades of the 20th century, mass legal executions diminished as a percentage and were largely limited to punishing robbery-related homicides, including felony-homicides of conspirators. Throughout that period, the end of mass executions for a particular crime presaged the end of all executions for that offense, and the last mass legal execution occurred in 1960.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".