Cheese without cows: Consumer demand for animal-free dairy cheese made from cellular agriculture in the United Kingdom
Bibliographic record
Abstract
Abstract We examine consumer demand for animal-free dairy cheese produced using cellular agriculture. Our data is generated through a hypothetical choice experiment completed by 1249 UK residents. Using a mixed logit model, we predict that animal-free dairy cheese would have a conditional market share of 22% when priced at a 25% markup relative to premium conventional cheese. However, the market share is quite sensitive to price: only 2% of consumers would purchase animal-free dairy cheese if it were twice the price of premium conventional cheese. Three-quarters of consumers who purchase animal-free dairy cheese would have purchased conventional dairy cheese if animal-free dairy cheese were unavailable. We use our experimental results to examine the impact of higher conventional dairy cheese prices, such as those that might result from a tax on livestock products. We find that the introduction of animal-free dairy cheese reduces consumer losses from higher conventional dairy prices by about 20%.
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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 | 0.001 | 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 | 0.001 | 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 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".