Consumers’ attitudes towards alternative grains: a conjoint analysis study
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
Summary Recently, alternative grains (millet, quinoa, sorghum) have been used to produce several food products common to North Americans. The objective of this study was to identify the attributes that drive consumers liking of alternative grains. A literature review and two focus groups were conducted. Four attributes were identified as being important to consumers when purchasing alternative grains. These attributes included grains, product type, flavour and claims. A choice‐ based conjoint analysis survey was created and administered to 346 individuals who live in Atlantic Canada. Product type and flavour were the most important attributes to consumers. Sweet and nutty flavours, products made from quinoa, or products with claims indicating they were a source of fibre, reduced risk of type 2 diabetes or reduced risk of cardiovascular disease, had a positive effect on consumer liking.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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