The Leonard Peltier Case: An Argument in Support of Executive Clemency Based on Norms of International Human Rights
Bibliographic record
Abstract
vehicle in which Eagle had purportedly left in the day before remains in controversy. 21 Shortly thereafter, a firefight ensued and both agents were killed along with AIM member, Joe Stuntz. 22 Coler and Williams had communicated by radio that they were following the vehicle, were being shot at, and subsequently, were needing assistance. 23 As other agents arrived on the scene, they encountered fire and had to retreat. 24 Additional agents and BIA officers arrived throughout the afternoon.With the help of a local, they were able to negotiate a cease-fire and make it to the dead agents' cars. 25 After negotiations, the officers began an assault on the compound with tear gas; however, the buildings were empty because the remaining AIM shooters were in the hills about a quarter-mile away. 26 By dusk the FBI had secured the Jumping Bull Compound, and the AIM members involved in the firefight had fled. 27 Ultimately four AIM members--Bob Robideau, Dino Butler, Jimmy Eagle, and Leonard Peltier--were indicted for the agents' murders.Robideau and Butler were tried together in federal court in Cedar Rapids, Iowa.The defendants argued self-defense and were acquitted in July 1976. 28 Charges were eventually dropped against Eagle when it became clear he was not present at the firefight. 29 Peltier fled to Canada in February 1976, where he was subsequently arrested and held. 30 The U.S. government successfully extradited him back to the United States, in part by using affidavits by Myrtle Poor Bear, an Indian woman who claimed to have witnessed the firefights. 31 After a five and a half week trial in the federal district court of Fargo, North Dakota, he was found guilty of two counts of first-degree murder and sentenced to two consecutive life sentences. 32 The trial was complex and contentious, with both the prosecution and the defense making claims that various actions during trial were prejudicial.The inconsistencies and evidence of government misconduct will be 21.Id. at 42, 44.
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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 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".