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Record W2133069393 · doi:10.1177/1948550610365170

The Accentuation Bias

2010· article· en· W2133069393 on OpenAlex
David Dubois, Derek D. Rucker, Adam D. Galinsky

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

VenueSocial Psychological and Personality Science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsPsychologyValue (mathematics)Priming (agriculture)Object (grammar)Social psychologyRepresentation (politics)Power (physics)HierarchyCognitive psychologyLinguisticsStatistics

Abstract

fetched live from OpenAlex

The present research explores how people’s place in a power hierarchy alters their representations of valued objects. The authors hypothesized that powerlessness produces an accentuation bias by altering the physical representation of monetary objects in a manner consistent with the size-to-value relationship. In the first three experiments, powerless participants, induced through episodic priming or role manipulations, systematically overestimated the size of objects associated with monetary value (i.e., quarters, poker chips) compared to powerful and baseline participants. However, when value was inversely associated with size (i.e., smaller objects were more valuable), the powerless drew these valued objects smaller, not larger. In addition, the accentuation bias by the powerless was more pronounced when the monetary value associated with the object was greater, increased when the object was physically present, and was mediated by differences in subjective value. These findings suggest that powerlessness fosters compensatory processes that guide representations of valued objects.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.009
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.152
GPT teacher head0.464
Teacher spread0.312 · 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