Political Elements in Post-Columbine School Shootings in Europe and North America
Bibliographic record
Abstract
School shootings have traditionally been interpreted as non-political acts. Empirical evidence, however, suggests that not all shootings are necessarily so different from political violence, at least in the shooter's own opinion. The article analyses 28 school rampage shootings in Europe, the U.S., and Canada from 1999–2011 to determine common and prevalent political elements in the shootings. The shootings are divided into three categories: shootings with overtly political communication (four cases), shootings with references to previous school rampage shootings (13 cases), and isolated incidents (11 cases). While it is possible to question whether the shootings were genuinely politically motivated, it is clear that the majority of school shooters link their deed to the agenda and beliefs presented by the Columbine shooters, which has created a sense of tradition, continuity, and imagined community among the shooters and their admirers, not unlike in cases of terrorism and political violence that are referred to as leaderless resistance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".