Bibliographic record
Abstract
<JATS1:p>Politics and the Pastoffers an original, multidisciplinary exploration of the growing public controversy over reparations for historical injustices. Demonstrating that "reparations politics" has become one of the most important features of international politics in recent years, the authors analyze why this is the case and show that reparations politics can be expected to be a major aspect of international affairs in coming years. In addition to broad theoretical and philosophical reflection, the book includes discussions of the politics of reparations in specific countries and regions, including the United States, France, Latin America, Japan, Canada, and Rwanda. The volume presents a nuanced, historically grounded, and critical perspective on the many campaigns for reparations currently afoot in a variety of contexts around the world. All readers working or teaching in the fields of transitional justice, the politics of memory, and social movements will find this book a rich and provocative contribution to this complex debate.</JATS1:p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads 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".