Bibliographic record
Abstract
Abstract The recent literature on genocide shows signs of taking what might be called a “processual turn,” with genocide increasingly understood as a contingent process rather than a singular event. But while this second generation's turn may be clear to those within the literature, the theory guiding the change is insufficiently specified. The theory regarding process and contingency is implicit, and, as such, genocide theory does not realize its full generative potential. The primary goal of this article is to provide a more robust theoretical framework for making sense of the continually evolving dimensions of genocide. It builds on the literature's existing foundations, most notablyMann's (2005) notion of “contingent escalations.” In the spirit of the recent revival ofAmerican Pragmatism in sociology, it draws on the work ofDewey,Mills,Follett, andAddams (among others) as part of a theoretical reconstruction using pragmatist concepts such as rupture, perplexity, vocabularies of motive, and experimentation to consider examples from the Rwandan genocide and show how we might explore the potential for non‐teleological intentionality on the part of genocidal actors. The result is an enhanced theoretical framework that offers “fresh eyes” for considering one of the worst (and most under‐theorized) social problems.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.078 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".