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Record W2128284528 · doi:10.1111/1467-9248.00346

Sowing Dragon's Teeth: Public Support for Political Violence and Paramilitarism in Northern Ireland

2001· article· en· W2128284528 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolitical Studies · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsNuclear decommissioningPoliticsPolitical violencePopulationCriminologyPolitical sciencePolitical economySociologyLawEngineeringDemography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.360
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it