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Record W2058140707 · doi:10.1108/17596599200900006

Who will act badly in toxic situations?

2009· article· en· W2058140707 on OpenAlexaff
Donald G. Dutton, Christie Tetreault

Bibliographic record

VenueJournal of Aggression Conflict and Peace Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMilgram experimentAggressionObediencePrisonPsychologySocial psychologyCriminology

Abstract

fetched live from OpenAlex

We examine whether individual differences exist in reactions to toxic situations, reviewing historical examples of massacres. The social psychological research on the question consists of the famous Milgram experiment on obedience and the Stanford Prison Experiment. Although these studies show the power of situations in eliciting aggression towards targets, they overlook an essential aspect of real world behaviours ‐ the innovation of imaginative sadistic sequences that go beyond the orders given. We argue that analogue studies are too limited to capture these situations and that social psychological research has been too limited in its assessment of key relevant individual traits, one of which is a potential for sadism. Furthermore, we raise concerns about whether ‘snapshot’ analogue research can capture the transitional processes central to an understanding of real world reactions to toxicity.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.140
GPT teacher head0.509
Teacher spread0.368 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2009
Admission routes1
Has abstractyes

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