Bibliographic record
Abstract
The trial of former SS lieutenant and Gestapo chief Klaus Barbie was France's first trial for crimes against humanity.Known as the "Butcher of Lyon" during the Nazi occupation of that city from 1942 to 1944, Barbie tortured, deported, and murdered thousands of Jews and Resistance fighters.Following a lengthy investigation and the overcoming of numerous legal and other obstacles, the trial began in 1987 and attracted global attention.Justice in Lyon is the first comprehensive history of the Barbie trial, including the investigation leading up to it, the legal background to the case, and the hurdles the prosecution had to clear in order to bring Barbie to justice.Richard J. Golsan examines the strategies used by the defence, the prosecution, and the lawyers who represented Barbie's many victims at the trial.The book draws from press coverage, articles, and books about Barbie and the trial published at the time, as well as recently released archival sources and the personal archives of lawyers at the trial.Making the case that, despite the views of its many critics, the Barbie trial was a success in legal, historical, and pedagogical terms, Justice in Lyon details how the trial has had a positive impact on French and international law governing crimes against humanity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.861 | 0.697 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".