Sowing Dragon's Teeth: Public Support for Political Violence and Paramilitarism in Northern Ireland
Bibliographic record
Abstract
While much attention has been devoted to political efforts to solve the Northern Ireland problem, less attention has been given to the role of political violence in sustaining the conflict. We argue that one of the reasons for the intractability of the conflict is widespread exposure to political violence among the civil population. By 1998, thirty years after the conflict started, one in seven of the population reported being a victim of violence; one in five had a family member killed or injured; and one in four had been caught up in an explosion. Such widespread exposure to violence exists alongside latent support for paramilitarism among a significant minority of both communities. Using 1998 survey data, we show that exposure to violence serves to enhance public support for paramilitary groups, as well as to reduce support for the decommissioning of paramilitary weapons. Overall, the results suggest that only a lengthy period without political violence will undermine support for paramilitarism and result in the decommissioning of weapons.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".