Bibliographic record
Abstract
The extermination that was associated with the violence of the Spanish Civil War period and the early 1940s has been studied in depth in recent decades. Until now, however, the concept of genocide has not been discussed with an eye to understanding and interpreting this violence. The hermeneutical and comparative potential of the concept is, however, unquestionable. This article aims both to contextualize the origin and development of the debates about the concept of genocide, and to show what the concept could add to the debate in the case of Spain. In particular, this paper proposes to apply the concept of genocidal practice to the study of the Francoist violence, through analysis of the discourses, the reasons for the violence, and the memories of the events. From this point of view, an analysis will be made of the relationship between the practice of genocidal violence and the discourses of denial devoted to preserving the impunity of the perpetrators to this very day in Spain.
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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 | 0.000 | 0.000 |
| 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".