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If, When, and Why Adolescent Bullying Is Adaptive

2012· book-chapter· en· W295608031 on OpenAlexaff
Anthony A. Volk, Joseph A. Camilleri, Andrew V. Dane, Zopito A. Marini

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook-chapter
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsBrock University
Fundersnot available
KeywordsRedressPhenomenonPsychologyDevelopmental psychologyIntervention (counseling)Adaptation (eye)Social psychologyPolitical scienceNeuroscience

Abstract

fetched live from OpenAlex

Abstract Adolescent bullying appears to be a cross-cultural, worldwide phenomenon. A substantial literature has addressed this phenomenon due to the important implications bullying presents for adolescents. The ubiquity of bullying, along with its heritability, suggests the possibility that some bullying may be the result of evolved adaptations. Unfortunately, the bullying literature has failed to formally examine this possibility in depth. The current chapter is an effort to redress this situation as we look at if, when, and why adolescent bullying is adaptive. We find significant evidence for the functionality of modern bullying and the absence of psychopathologies typically associated with maladaptive development, supporting the claim that bullying may be an evolved adaptation. Evidence from hunter-gatherers and historical data further support this claim. We examine the individual differences, contextual factors, and developmental pathways that may lead to bullying being an important, functional, adaptive behavior among adolescents. We end the chapter with a discussion of the implications an adaptive view of bullying has for intervention, research, and adolescents.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.234
Teacher spread0.198 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations13
Published2012
Admission routes1
Has abstractyes

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