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Record W1970347118 · doi:10.1177/0146167202238371

Remembering Everyday Experience Through the Prism of Self-Esteem

2003· article· en· W1970347118 on OpenAlex

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

VenuePersonality and Social Psychology Bulletin · 2003
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyValence (chemistry)Autobiographical memorySelf-esteemRecallMoodSocial psychologyEvent (particle physics)Developmental psychologySelfCognitive psychology

Abstract

fetched live from OpenAlex

Two studies examined whether global self-esteem was associated with bias in memory for autobiographical experience. For 7 days, participants described specific events and made ratings of their experience (i.e., state self-esteem, positive and negative emotion, and perceived valence of the event) in response to each event. Later, participants were presented with their event descriptions and were asked to recall their experience ratings from memory. As hypothesized, higher global self-esteem predicted positive shifts in memory for experience, whereas lower global self-esteem predicted negative shifts in memory for experience. Patterns of bias were strongest for remembered state self-esteem, moderate for positive emotion, and minimal for event valence. Self-esteem did not predict bias for negative emotion. Mood at the time of recall (measured in Study 2) generally did not account for the patterns. These findings strengthen the view that self-esteem is a rich source of knowledge about the self that can influence memory for some kinds of autobiographical experience.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.361
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