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Record W4250646678 · doi:10.24124/2007/bpgub1338

Assessing the role and extent of relational bullying among grade seven boys

2007· dissertation· en· W4250646678 on OpenAlexaff
Kevin Harnish

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicVaried Academic Research Topics
Canadian institutionsMount Saint Vincent UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsGossipPsychologyDevelopmental psychologyContext (archaeology)ContradictionSocial psychologyGeography

Abstract

fetched live from OpenAlex

The following research study examined relational bullying in a Christian-based elementary school context. Mixed methods were used to study grade seven students and the extent and nature of the relational bullying. Quantitative and qualitative data was collected through a student survey and an adult questionnaire. The results were analyzed using SPSS and by coding themes. The results of the analysis supported previously written literature that girls are relational bullies and boys are physical bullies. However, there is a contradiction that relational bullying is not a boys' issue . Boys are involved in relational bullying in school. Implications from the study indicate that boys will exclude, name call, tease and gossip and spread rumors as a means to bully peers. Boys superseded girls in relational bullying tactics except gossiping and spreading rumors.--P.ii

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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 designObservational
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

Citations1
Published2007
Admission routes1
Has abstractyes

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