Predictors of willingness to eat wild mushrooms: extended theory of reasoned action
Bibliographic record
Abstract
Background The accidental consumption of wild poisonous mushrooms has emerged as a primary source of poisoning incidents globally. It is imperative to comprehend the dietary habits of individuals consuming wild mushrooms to address this issue effectively. Methods In this investigation, an extended version of the theory of reasoned action was employed, incorporating perceived benefit and food-related self-efficacy as novel predictive variables. Results A total of 793 Chinese residents participated in the study, which revealed that subjective norms (β = 0. 219, t = 5.314), attitudes (β = 0.426, t = 8.237), self-efficacy (β = 0.144, t = 5.905), and perceived benefit (β = 0.177, t = 4.586) significantly influenced the participants' intentions. Conclusion The extended theory of reasoned action framework has proven to be a valuable instrument for understanding individuals' inclinations toward selecting food-related risks. These factors should be considered in governmental initiatives aimed at enhancing food safety.
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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 | 0.001 |
| 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".