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Record W2102890821 · doi:10.1086/662069

Implicit Self-Referencing: The Effect of Nonvolitional Self-Association on Brand and Product Attitude

2012· article· en· W2102890821 on OpenAlex
Andrew Perkins, Mark Forehand

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 institutionsWestern University
Fundersnot available
KeywordsAssociation (psychology)CategorizationPsychologyImplicit-association testImplicit attitudeProduct (mathematics)Object (grammar)Social psychologyAdvertisingProduct categoryBannerSelfCognitive psychologyComputer scienceMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

In three experiments, nonvolitional self-association is shown to improve implicit attitude, self-reported attitude, purchase intention, and product choice for both product categories and fictional brands. Experiments 1 and 2 demonstrate that arbitrary categorization of self-related content with novel stimuli improved evaluations by creating new self-object associations in memory and that the influence of self-association is moderated by implicit self-esteem. Experiment 3 shows that such implicit self-referencing does not require conscious self-categorization and occurs even when novel stimuli are simply presented in close proximity to self-related content. In this final experiment, subjects responded more positively to brands featured in banner ads on a personal social networking webpage than when featured on an equivalent nonpersonal social networking page. This automatic self-association effect was mediated by the degree to which the advertising prompted an implicit association between the self and the advertised brands.

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)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
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 integrity0.0000.001
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 head0.058
GPT teacher head0.436
Teacher spread0.378 · 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