Bibliographic record
Abstract
Ending Terrorism in Italy analyses processes of disengagement from terrorism, as well as the connected issues of reconciliation, truth and justice. It examines in a critical and original way how terrorism came to an end in Italy (Part I), and the legacy it has left behind (Part II). The book interrogates a wide array of published memoirs and a considerable number of new face-to-face interviews with both former terrorists and first and second generation victims In the last two decades, and especially in recent years, former extreme-right terrorists in Italy have started to talk about their past involvement in terrorist violence, including, for the first time, acts of violence which have for decades been considered taboo, that is to say, bomb attacks against innocent civilians. These narratives add to the perspectives offered by members of left-wing terrorist groups, such as the Red Brigades and Prima Linea. Surprisingly, these narratives have not been systematically examined, yet they form a unique and extremely rich source of first-hand testimony, providing invaluable insights into processes of youth radicalization and de-radicalization, the social re-integration of ex-terrorists, as well as personal and collective healing. Even less attention has been paid to the victims’ narratives or stories. Indeed, the views and activities of the victims and their associations have been seriously neglected in the scholarly literature on terrorism, not just in Italy, but elsewhere in Europe. The book therefore examines the perspectives of the victims and relatives of victims of terrorism, who over the years have formed dedicated associations and campaigned relentlessly to obtain justice through the courts, with little or no support from the state and, especially in the case of the bombing massacres, with increasing awareness that the state played a role in thwarting the course of justice. Ending Terrorism in Italy will be of interest to historians, social scientists and policy makers as well as students of political violence and post-conflict resolution. .
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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 | 0.001 | 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 | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".