Weighing Oneself on a Scale Inhibits the Food Intake Enhancing Effect of Food Primes
Bibliographic record
Abstract
Frequent self-weighing has been found to facilitate weight maintenance and the prevention of age-related weight gain. Three experiments were performed to examine the hypothesis that the act of self-weighing inhibits the increase in food intake elicited by food primes. In the first study, participants were provided with a small bowl of chocolate, and consumption of the snack was compared between those who self-weighed and those who did not. In the second study, participants were randomized into three groups: (a) those who watched food advertisements and did not self-weigh, (b) those who watched food advertisements and self-weighed, and (c) those who watched neutral advertisements and did not self-weigh. The third study added a negative control group that watched neutral advertisements and self-weighed. The results revealed that weighing oneself inhibits snack intake, as well as reduces the effects of stimulating food intake when watching a food advertisement. Understanding the mechanism behind this phenomenon means that we can harness the psychological power of stepping on the scale to help combat the prevalence of obesity in the United States.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".