Perceived risk, environmental attitude and fertilizer application by vegetable farmers in China
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 In this study, we investigated the impact of three different perceived risk and environmental attitude on the fertilizer reduction behavior in vegetable production and the interplay between perceived risk and environmental attitude. We found that perceived economic risk can exert a significant and negative effect on farmers’ fertilizer reduction behavior (−0.39) and perceived social and psychological risks has a relatively weak negative impact with coefficients of −0.25 and −0.23, respectively. A more friendly environmental attitude can significantly and positively affect farmers’ fertilizer reduction behavior. Furthermore, environmental attitude has a moderating effect on the association between perceived risk and farmer’s fertilizer reduction behavior, but just significant for economic and social risk. In other words, a better environmental attitude could reduce the negative effect of perceived risk. This study promoted our new understanding of the risk perception’s impact on farmers’ behavior.
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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