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Record W315724112

Differences in the Effects of Visual Cues on the Hunger of Men and Women

2010· article· en· W315724112 on OpenAlexaboutno aff
Rachel Levitsky

Bibliographic record

VenueScholarship@Western (Western University) · 2010
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySensory cueCognitive psychologySocial psychologyDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

Twenty men and 20 women from the University o f Western Ontario and its affiliate colleges were recruited to complete a study regarding the effects that images of food have on hunger. It was hypothesized that women would have more increased feelings of hunger after being exposed to images of low-caloric foods than high-caloric foods, and men would have increased feelings of hunger after seeing images of high-caloric foods than low-caloric foods.\nIndividuals completed a five-point scale o f immediate hunger, and then were shown images of either high-caloric or low-caloric foods, which they wrote a descriptive paragraph about in order to ensure that the images were viewed adequately. Participants then reassessed their hunger on a five-point scale. The results found no main effect for gender (male/female) or food image condition (high-calorie/low-calorie), but an interaction effect was found between the independent variables, F (1,36) = 1.12, p < 0.05, partial p n² = 0.18. Issues and improvements of the design were discussed, as well as suggestions for future studies.

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 score0.005
Threshold uncertainty score0.459

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 integrity0.0000.001
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 head0.054
GPT teacher head0.324
Teacher spread0.270 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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