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Record W2533434234 · doi:10.1037/hea0000447

Conflicting internal and external eating cues: Impact on food intake and attributions.

2016· article· en· W2533434234 on OpenAlexaff
Lenny R. Vartanian, Samantha Spanos, C. Peter Herman, Janet Polivy

Bibliographic record

VenueHealth Psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
FundersAustralian Research Council
KeywordsPsychologyAttributionFood intakeSocial psychologyNorm (philosophy)PsycINFOMealDevelopmental psychologyMedicineMEDLINE

Abstract

fetched live from OpenAlex

OBJECTIVE: Social factors have a powerful influence on people's food intake but people typically fail to acknowledge the influence of such external cues, instead explaining their food intake in terms of factors such as how hungry they are. We examined whether the tendency to explain one's food intake in terms of internal cues (i.e., hunger) rather than external cues (i.e., other people's behavior) would be apparent when those cues are in conflict with one another. METHOD: Female participants (n = 104) took part in a pizza taste test after having been food deprived for 18-hr or after consuming a meal-replacement preload. Half of the participants were also exposed to a social norm that conflicted with their deprivation condition: deprived participants were exposed to a low-intake norm, whereas preloaded participants were exposed to a high-intake norm. After completing the taste test, participants indicated the extent to which their food intake was influence by how hungry they were and how much other people ate. RESULTS: Deprived participants ate less when exposed to a low-intake norm than when no norm was present, but reported that the behaviors of others had no impact on their food intake. In contrast, preloaded participants did not eat significantly more when exposed to a high-intake norm, but reported that the behavior of others made them eat more. CONCLUSIONS: Participants are generally inaccurate in the attributions they make for their food intake, and we suggest that these inaccuracies may be because of motivated misreporting. (PsycINFO Database Record

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.068
GPT teacher head0.467
Teacher spread0.399 · 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 designObservational
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

Citations22
Published2016
Admission routes1
Has abstractyes

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