Genocide Studies and Corporate Social Responsibility: The Contemporary Case of the French National Railways (SNCF)
Bibliographic record
Abstract
Genocide studies considers the accountability various of perpetrators, as well as the needs mass atrocity creates. The inclusion of market actors, however, remains marginalized. This article considers factors perpetuating this marginalization and its costs, arguing for greater inclusion of market actors in genocide-related discussions. Relegating the importance of these actors makes the field, not their role, tangential. To examine this intersection of business and genocide, this article introduces a contemporary conflict involving the United States and France over the French National Railways (SNCF) and its role in the transport of deportees towards death camps during World War II. The lengthy, vitriolic conflict suggests the need for better discursive spaces to explore the complex role of market actors. Developing the intersection of genocide studies and corporate social responsibility in scholarship and increasing the participation of businesses in post-conflict work can help do this work.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| 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".