Organic Food Appeals to Intuition and Triggers Stereotypes
Bibliographic record
Abstract
Evidence suggests that the benefits of organic food are overstated. In study 1, factors predicting positive attitudes toward organic food (OF), food processing and additives were investigated. Intuitive thinking style was the strongest predictor, followed by categorical thinking, belief in simplicity of knowledge and susceptibility to health myths. In Study 2, the effect of OF consumer status on perceived warmth and competence was examined. OF-positive participants rated the OF consumer similarly as the conventional consumer. However, OF-negative participants regarded the OF consumer as warmer but less competent than the conventional consumer. In Study 3, perceptions of a couple were examined similarly. OF consumer couple's relationship was more idealized by the OF-positive participants whereas other participants regarded the OF consumer couple's relationship as less satisfactory. In addition, intuitive thinking style increased positive judgments about the stimulus persons in Studies 2 and 3. Eating organic food may thus evoke positive and negative stereotypes, and intuitive thinkers may be especially receptive to OF marketing and influenced by a preference for natural.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".