Cyber-dilemmas in the new millennium: School obligations to provide student safety in a virtual school environment
Bibliographic record
Abstract
ABSTRACT. Cyber-bullying is a psychologically devastating form of social cruelty among adolescents. This paper reviews the current policy vacuum as it relates to the legal obligations and reasonable expectations of schools to monitor and supervise on-line discourse, while balancing student safety, education, and interaction in virtual space. The paper opens with a profile and conditions of cyber-bullying. A brief discussion of the institutional responses to cyber-bullying follows. Finally, emerging and established law is highlighted to provide guidelines that are more likely than arbitrary responses, to help schools reduce cyber-bullying through educational means that protect students and avoid litigation. CYBER DILEMMES DANS LE NOUVEAU MILLENAIRE : OBLIGATIONS DES ECOLES A ASSURER AUX ELEVES LA SECURITE DANS UN ENVIRONNEMENT SCOLAIRE VIRTUEL RESUME. La cyber-intimidation est une forme psychologiquement devastatrice et actuellement moins etudiee parmi les adolescents. Cet article passe en revue le manque de politique lie aux obligations legales et aux attentes raisonnables des ecoles pour diriger et guider les discours sur Internet pendant qu’ils equilibrent la securite, l’education et les interactions des etudiants dans cet espace virtuel. Le document commence avec une description du profil de l’intimidation cybernetique et de ses conditions. Une breve description des hierarchies de pouvoir discussion et des reponses institutionnelles aux cyberintimidations suit. Finalement, une loi emergeante et deja etablie est mise en valeur pour servir de ligne directrice qui, eventuellement, aidera les ecoles a reduire l’intimidation cybernetique, et ce, au moyen de contenu educatif qui protege les etudiants et permet d’eviter les litiges.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".