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Record W3198351578

Cyberbullying on social networking sites: A literature review

2021· review· en· W3198351578 on OpenAlex
Ravi Agnihotri, Devesh Katiyar, Gaurav Goel

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Emerging Technologies and Innovative Research · 2021
Typereview
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityHostilityWonderPopulationInternet privacySocial mediaDistressPsychologyPublic relationsCriminologySocial psychologyPolitical scienceMedicinePsychotherapistLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

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

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.900
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.011
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.289
GPT teacher head0.514
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it