Cyberbullying on social networking sites: A literature review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cyberbullying or electronic hostility has as of now been assigned as a genuine general wellbeing danger. Cyberbullying ought to likewise be considered as a reason for new beginning mental side effects, physical manifestations of hazy etiology, or a drop in scholarly execution. Pediatricians ought to be prepared to assume a significant part in focusing on and supporting the social and formative prosperity of youngsters. Cyberbullying or electronic hostility has as of now been assigned as a genuine general wellbeing danger and evoked alerts to the overall population from the Centers for Disease Control and Prevention (CDC) [1]. The term seems to have been begotten in 2000 in Canada by the proprietor of a Web website committed to forestalling customary (up close and personal) tormenting [1]. Tokunaga characterized the wonder as any conduct performed through electronic or computerized media by people or gatherings that over and again imparts antagonistic or forceful messages planned to perpetrate damage or distress on others [2]. This definition features a few significant cyberbullying highlights: the innovation part, the unfriendly idea of the demonstration, the plan to cause enduring, considered by most researchers to be critical to the definition, and monotony
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it