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Record W1976400715 · doi:10.1027/1618-3169.55.5.291

Asparagus, a love story: healthier eating could be just a false memory away.

2008· article· en· W1976400715 on OpenAlexaff
Cara Laney, Erin K. Morris, Daniel M. Bernstein, Briana M. Wakefield, Elizabeth F. Loftus

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsKwantlen Polytechnic University
FundersNational Institute of Mental Health
KeywordsAsparagusPsychologyAdvertisingSocial psychologyMedicineBusinessBiologyHorticulture

Abstract

fetched live from OpenAlex

In two experiments, involving 231 subjects, we planted the suggestion that subjects loved to eat asparagus as children. Relative to controls, subjects receiving the suggestion became more confident that they had loved asparagus the first time they tried it. These new (false) beliefs had consequences for those who formed them, including increased general liking of asparagus, greater desire to eat asparagus in a restaurant setting, and a willingness to pay more for asparagus in the grocery store. Ratings of photographs made after the suggestion reveal that the altered nutritional choices may relate to the fact that the sight of asparagus simply looks more appetizing and appealing. These results demonstrate that adults can be led to believe that they had a positive food-related experience as children, and that these false beliefs can have healthy consequences.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.768

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 studies0.0000.000
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 head0.065
GPT teacher head0.272
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2008
Admission routes1
Has abstractyes

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