The War against Reality: A Youth Perspective on the Columbine High School Massacre
Bibliographic record
Abstract
This paper takes a critical look at the cases of Eric Harris and Dylan Klebold, two boys responsible for the Columbine High School massacre, and Seung-Hui Cho, responsible for the recent tragedy at Virginia Tech. After careful examination of the published literature on relevant topics including junior delinquency, school massacres, and the increasing access to media, I propose that these violent incidents are logical consequences of an escapist approach to reality, undeniably prevalent in the current youth population at large. Fantasies (any product of the imagination), conjured up by books, movies, games, television, internet, and drugs, provide an escape away from the unsatisfactory reality, and serve as one weapon in the war against it. Although fantasizing can be therapeutic and creative in moderation, when one is hopelessly ill-equipped to deal with the obstacles of real life, one becomes more and more dependent on fantasies as the solution to all problems. In the case of Harris, Klebold and Cho, this dependence escalated to violent hatred against reality. However, violence in movies and video games are not what leads people to mass murder. Rather, the fault is in the society that breeds a generation of escapists who need such fantasies to survive. The readymade fantasies on television – violent, sexual, and otherwise – that many criticize as the source of evil in these young people are mere symptoms of a greater phenomenon, produced to meet the overwhelming and preexisting demand for an escape.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.026 | 0.029 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.012 |
| 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".