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Record W2162730466 · doi:10.1002/ejsp.1983

The ironic impact of activists: Negative stereotypes reduce social change influence

2013· article· en· W2162730466 on OpenAlex
Nadia Bashir, Penelope Lockwood, Alison L. Chasteen, Daniel Nadolny, Indra Noyes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Journal of Social Psychology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of WaterlooUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial psychologyMilitantSocial changePsychologyPerceptionSocial activismResistance (ecology)Social learningSocial perceptionPoliticsPolitical science

Abstract

fetched live from OpenAlex

Abstract Despite recognizing the need for social change in areas such as social equality and environmental protection, individuals often avoid supporting such change. Researchers have previously attempted to understand this resistance to social change by examining individuals' perceptions of social issues and social change. We instead examined the possibility that individuals resist social change because they have negative stereotypes of activists, the agents of social change. Participants had negative stereotypes of activists (feminists and environmentalists), regardless of the domain of activism, viewing them as eccentric and militant. Furthermore, these stereotypes reduced participants' willingness to affiliate with ‘typical’ activists and, ultimately, to adopt the behaviours that these activists promoted. These results indicate that stereotypes and person perception processes more generally play a key role in creating resistance to social change. Copyright © 2013 John Wiley & Sons, Ltd.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.065
GPT teacher head0.411
Teacher spread0.346 · 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