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Record W1979129948 · doi:10.1177/0829573509357531

“My Best Friend Always Did and Still Does Betray Me Constantly”: Examining Relational and Physical Victimization Within a Dyadic Friendship Context

2010· article· en· W1979129948 on OpenAlexaff
Tina Daniels, Danielle Quigley, Lisa Menard, Linda J. Spence

Bibliographic record

VenueCanadian Journal of School Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsCarleton University
Fundersnot available
KeywordsFriendshipPsychologyContext (archaeology)Developmental psychologySocial psychologyPeer victimizationQuality (philosophy)Intervention (counseling)Variance (accounting)Multilevel modelInterpersonal relationshipHuman factors and ergonomicsPoison control

Abstract

fetched live from OpenAlex

This study was an investigation of the nature of victimization within the context of dyadic peer friendships. In particular, relational and physical victimization were examined to determine whether level of victimization by a friend varied as a function of sex or having a reciprocated friendship. Qualities of the friendship and satisfaction with the friendship were explored as predictors of both forms of victimization. The sample consisted of 384 children in Grades 4 to 6 ( M = 10.5 years of age). Girls in relationally victimizing friendships described these relationships as high in both positive and negative friendship qualities, whereas both boys and girls in physically and physically plus relationally victimizing friendships described their relationships as more negative across all friendship quality variables. All children in victimizing relationships reported less satisfaction than those in nonvictimizing relationships. Using regression analyses, we were able to predict almost half of the variance in relational victimization and almost a third of the variance in physical victimization from friendship quality ratings. Some implications for prevention and intervention are discussed.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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 teacher head, not a consensus.

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

Citations42
Published2010
Admission routes1
Has abstractyes

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