Social mobility beliefs lower preferences for genetically-modified foods
Bibliographic record
Abstract
This multi-study investigation explores the influence of Social Mobility Beliefs (SMB) on consumer preference for genetically-modified (GM) foods. Study 1 (N = 500) involved a survey, while Studies 2 (N = 261) and 3 (N = 300) employed experimental manipulations of SMB. Results demonstrate that higher SMB correlate with less favorable preferences for GM foods due to a heightened importance of adhering to social norms, which include those against GM food consumption. Experimental manipulations of SMB confirmed the causal effect of SMB on lower GM food preferences, while alterations in social norms moderate the effect. These findings underscore the significant role of SMB in shaping preferences toward GM foods. Implications extend to policy-making and communication strategies aimed at fostering sustainable food consumption practices. This research contributes novel insights to the understanding of consumer behavior and its implications for sustainable production.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".