Consumer Preference for Sustainable Attributes in Plants: Evidence from Experimental Auctions
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 Experimental auctions were employed to investigate U.S. and Canadian consumers’ willingness to pay for sustainable attributes in plants. The results show consumers are willing to pay a price premium for energy and water savings in plant production of $0.15 and $0.12, respectively. Consumers are only willing to pay $0.08 more for sustainably labeled product. Latent class segmentation analysis identifies three distinct consumer segments: Import‐Liking , Mainstream , and Eco‐local . Mainstream Consumers were the largest segment and willing to pay only modest premiums for eco‐friendly attributes. Eco‐local consumers comprised 14% of consumers and they were willing to pay the highest amount for the improved production methods and container types, while having the highest willing to pay for local and domestic products. [EconLit citations: D44, M31].
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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 | 0.001 |
| 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