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Record W2104252614 · doi:10.1002/ab.21418

Is Adolescent Bullying an Evolutionary Adaptation?

2012· article· en· W2104252614 on OpenAlexaff
Anthony A. Volk, Joseph A. Camilleri, Andrew V. Dane, Zopito A. Marini

Bibliographic record

VenueAggressive Behavior · 2012
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychological interventionAggressionPsychologyPerspective (graphical)Evolutionary psychologyDominance (genetics)Developmental psychologyAdaptation (eye)Poison controlHuman factors and ergonomicsSuicide preventionInjury preventionSocial psychologyMedicineBiologyMedical emergencyPsychiatry

Abstract

fetched live from OpenAlex

Bullying appears to be ubiquitous across cultures, involving hundreds of millions of adolescents worldwide, and has potentially serious negative consequences for its participants (particularly victims). We challenge the traditionally held belief that bullying results from maladaptive development by reviewing evidence that bullying may be, in part, an evolved, facultative, adaptive strategy that offers some benefits to its practitioners. In support of this view, we draw from research that suggests bullying serves to promote adolescent bullies' evolutionarily-relevant somatic, sexual, and dominance goals, has a genetic basis, and is widespread among nonhuman animals. We identify and explain differences in the bullying behavior of the two sexes, as well as when and why bullying is adaptive and when it may not be. We offer commentary on both the failures and successes of current anti-bullying interventions from an evolutionary perspective and suggest future directions for both research and anti-bullying interventions.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.009
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.057
GPT teacher head0.346
Teacher spread0.289 · 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 designTheoretical or conceptual
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

Citations347
Published2012
Admission routes1
Has abstractyes

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