Effects of Motivation Framing and Content Domain on Intentions to Eat Plant- and Animal-Based Foods
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study examined the effectiveness of persuasive messages intended to encourage people to eat more plant foods and fewer nonhuman animal foods. One hundred twelve participants reported their eating habits and read an article that emphasized health or ethical implications of food choices as well as a brochure that used autonomy promoting or controlling motivational framing to encourage eating plant foods. They then indicated their future eating intentions. Across conditions, participants reported the intention to eat more plant foods following the manipulations compared to their current eating habits. In addition, people who perceived the article as promoting greater choice in eating habits reported an intention to decrease their consumption of meat and increase their consumption of higher protein plant foods. These findings can assist animal rights or welfare advocates, health-care practitioners, and educators in encouraging people to eat more plant foods and fewer animal foods.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it