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Record W2119062919 · doi:10.21432/t2dk5g

Cyberbullying in schools: An examination of preservice teachers’ perception

2009· article· en· W2119062919 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2009
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyPerceptionPedagogyHumanities

Abstract

fetched live from OpenAlex

Please note: This article contains some text used by the author in other publications. This study examines preservice teachers’ perceptions about cyberbullying. Specifically, the following questions guide the research: (i) To what extent are preservice teachers concerned about cyberbullying? (ii) How confident are preservice teachers in managing cyberbullying problems? (iii) To what extent do preservice teachers feel prepared to deal with cyberbullying? (iv) To what extent do preservice teachers think that school commitment is important? Survey data were collected from 154 preservice teachers enrolled in a two-year post-degree program in a Canadian university. The results show that although a majority of the preservice teachers understand the significant effects of cyberbullying on children and are concerned about cyberbullying, most of them do not think it is a problem in our schools. In addition, a vast majority of our preservice teacher have little confidence in handling cyberbullying, even though the level of concern is high. Résumé : La présente étude examine la perception des futurs enseignants à l’égard de la cyberintimidation. Plus précisément, les questions suivantes ont orienté la recherche : (i) Dans quelle mesure les futurs enseignants sont-ils préoccupés par la cyberintimidation ? (ii) À quel point les futurs enseignants sont-ils confiants dans leur capacité de gérer des problèmes de cyberintimidation ? (iii) Dans quelle mesure les futurs enseignants se sentent-ils prêts à faire face à la cyberintimidation ? (iv) Dans quelle mesure les futurs enseignants pensent-ils que l’engagement de l’école est important ? Les données de l’enquête ont été recueillies auprès de 154 enseignants non encore à l’emploi inscrits dans un programme de deux ans aux cycles supérieurs dans une université canadienne. Les résultats montrent que bien que la majorité des futurs enseignants comprennent les effets significatifs de la cyberintimidation sur les enfants et soient préoccupés par ce phénomène, la plupart d’entre eux ne pensent pas que la cyberintimidation constitue un problème dans nos écoles. En outre, une grande majorité de nos futurs enseignants s’avèrent peu confiants dans leur capacité de gérer la cyberintimidation, même si leur niveau de préoccupation est élevé.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.276
Teacher spread0.263 · 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