Exploration of Meat Reducers’ Motivations and Their Food Choices
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
The past decade has observed an increasing number of consumers who are reducing their meat consumption without giving up meat altogether, known as meat reducers or flexitarians. However, relatively little is known about meat reducers in Canada. The goal of this study is to understand the motivations, perceived barriers, and current practices of meat reducers, compare them with other diet groups, and explore heterogeneity among them. To achieve this, we conducted an online survey with students attending a Canadian university (n=438). Our sample consisted of regular omnivores, omnivores reducing meat, meat reducers and vegetarians/ vegans. Results revealed that meat reducers are a distinct diet group that fall between regular omnivores and vegetarians/vegans on a broad range of variables. Lastly, we conducted latent profile analysis and identified four segments of meat reducers: ethical reducers (21%), mixed-motive reducers (24%), uncommitted reducers (41%), and restrictive reducers (14%).
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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 | 0.000 |
| 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 it