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Record W2101218147 · doi:10.1086/661112

The Role of Bolstering and Counterarguing Mind-Sets in Persuasion

2012· article· en· W2101218147 on OpenAlex
Alison Jing Xu, Robert S. Wyer

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.

Bibliographic record

VenueJournal of Consumer Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPersuasionSet (abstract data type)CognitionPsychologySocial psychologyPersuasive communicationCognitive psychologyComputer science

Abstract

fetched live from OpenAlex

The effect of a persuasive communication on individuals’ attitudes can be influenced by the cognitive behavior they have performed in an earlier, unrelated situation. Inducing participants to make supportive elaborations about a series of propositions activated a bolstering mind-set that increased the effectiveness of an unrelated advertisement they encountered subsequently. However, inducing participants to refute the implications of a series of propositions activated a counterarguing mind-set that decreased the ad’s effectiveness. These mind-sets had more impact when the cognitive behavior they activated differed from the behavior that would occur in the absence of these mind-sets. When the implications of a persuasive message were difficult to refute, inducing a counterarguing mind-set increased its effectiveness. Finally, watching a political speech or debate activated different mind-sets, depending on participants’ a priori attitude toward the politicians involved, and these mind-sets influenced the impact of an unrelated commercial they considered later.

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 integrity0.0000.000
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 head0.111
GPT teacher head0.487
Teacher spread0.376 · 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