Bibliographic record
Abstract
1and Potterton 2 highlight the fact that violent school-related crimes occur throughout the world. School rampage shootings, such as Columbine, have in fact become commonplace in the United States and have been duplicated in Finland, Germany, Canada, China and other “peaceful” nations throughout the world. While the number of children killed in such events are few compared to those killed in car accidents, these events strike terror in the hearts of parents and children, convincing them that school is no longer a safe place. The emotional wounds and despair suffered by a community often last for decades and absorb considerable financial resources in lost work hours, school interruption and psychiatric counseling. 3 The main thrust of both editorials is to try to answer some of the questions about adolescent rampage killings. Are such incidents provoked by heavy metal music or Satanism, as the popular media would have us believe? Szabo’s points are worth repeating:
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.
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 | 0.014 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.009 | 0.017 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.035 | 0.063 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".