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The Consequences of False Memories for Food Preferences and Choices

2009· article· en· W2081043249 on OpenAlexaff
Daniel M. Bernstein, Elizabeth F. Loftus

Bibliographic record

VenuePerspectives on Psychological Science · 2009
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsFalse memoryPsychologyConsumption (sociology)PreferenceSocial psychologyCognitive psychologyEconomicsSociologyRecallSocial scienceMicroeconomics

Abstract

fetched live from OpenAlex

False memories, or memories for events that never occurred, have been documented in the real world and in the laboratory. In the real world, false memories involving trauma and abuse have resulted in real-life consequences. In the laboratory, researchers have just begun to study the consequences of false memories. We review this laboratory-based work and show how false memories for food-related experiences (e.g., becoming ill after eating egg salad) can lead to attitudinal and behavioral consequences (e.g., lowered self-reported preference for and decreased consumption of egg salad).

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.

How this classification was reachedexpand

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.006
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 head0.096
GPT teacher head0.392
Teacher spread0.297 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2009
Admission routes1
Has abstractyes

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