Bibliographic record
Abstract
<p class="1Body">At the end of 2011 a bully-suicide case set off a wave of public and political concern for and increased sensitivity toward bullying-and-violence in South Korean schools. Following yet another high-profile bully-suicide case in 2013 the issue of school violence was designated a ‘social evil,’ with punitive-leaning and security-centric measures quickly implemented to try and ‘eradicate’ bullying-and-violence from South Korean society. During this period a particular discourse emerged - seemingly supported by survey data - claiming violence in schools in recent years has: a) become more pervasive, b) is occurring earlier and, c) like ‘gangsters,’ violent students are becoming more ‘organized.’ This paper critically analyzes this discourse by offering a ‘history of the present’ of school violence in South Korea from the 1950s until the present. Historical, empirical, developmental and international data are used to more accurately situate student-initiated violence, and, at the same time, to call in to question the current perceptions of juvenile delinquency and of juvenile justice.</p>
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".