Finding alternatives: Canadian attitudes towards novel foods in support of sustainable agriculture
Bibliographic record
Abstract
Global agriculture and farming practices account for roughly a quarter of total atmospheric emissions. Protein agricultural is especially prone to green-house gas emissions. There is a need to find alternatives, both in the form of protein and sustainable practices in providing alternative protein sources. However, sustainable agricultural practices must consider consumer behaviour and attitude towards switching protein sources. In this study, we carried out a survey of 993 Canadians in order to better understand the likelihood of adoption of alternative proteins, cultured meat, insects and jellyfish; attitudes towards sustainable agriculture were also explored. Results show that novel foods that imitate traditional protein sources have a higher acceptance rate than those that are not part of the cultural food landscape. There is no evidence that consumers would switch from traditional protein sources when given more protein source options, calling into question the environmental efficacy of novel food offering. This suggests that investment in alternative proteins as sustainable agriculture requires consumer engagement in order to see widespread success.
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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 | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".