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Record W2136278249 · doi:10.1080/13644360304628

Invisible Bruises: Kindergartners' perceptions of bullying

2003· article· en· W2136278249 on OpenAlexafffundabout
Susan. Gillies-Rezo, Sandra Bosacki

Bibliographic record

VenueInternational Journal of Children s Spirituality · 2003
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsBrock University
FundersBrock University
KeywordsPsychologyNarrativePerceptionDevelopmental psychologyContext (archaeology)Peer relationsSocial psychologyPeer groupArt

Abstract

fetched live from OpenAlex

Currently, few studies address kindergartners' perceptions and understandings of bullying. This study describes 15 Canadian kindergartners' graphic and narrative representations (drawings and stories) of their bullying experiences. Content analysis of the students' drawings and stories explored how they perceived bullying within the context of their lives. In general, findings showed that kindergartners perceive bullying situations as occurring during one-to-one peer interaction and not within social group situations. This study's results are discussed in relation to its socio-emotional, spiritual, and holistic educational implications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.583

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2003
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Children s SpiritualitySame topicBullying, Victimization, and AggressionFrench-language works237,207