Data_Sheet_7_Sustainability Dimensions of a North American Lentil System in a Changing World.PDF
Bibliographic record
Abstract
<p>Food production and consumption are among the largest drivers of global change. The adoption of lentil in production systems and in plant-based diets is a food system solution that can support the environmental, socio-economic, and human health dimensions of sustainability. The purpose of this study is to evaluate producer and consumer perceptions of the sustainability profile of the lentil system in Montana (USA), and the surrounding region that includes Idaho (USA), North Dakota (USA), Washington (USA), and Canada, in the context of global change. Surveys were conducted with lentil producers (n = 63; conventional n = 42, organic n = 15, and mixed management n = 6) and consumers (n = 138) in the rural state of Montana (USA). The most prevalent agronomic reason for including lentil in production systems reported by producers is to diversify crop rotation (92%). The most prevalent economic reasons for including lentil in rotation reported by producers is to capitalize on dryland production (95%) and to serve as a cash crop (87%). With respect to lentil consumption, the most prevalent health-related perceptions were that eating lentils helps to improve nutrition (88%), feel satiated or full (85%), and support a plant-based diet (81%). Consumers and non-consumers of lentils alike reported they would increase lentil consumption based on environmental (78%), economic (75%), and health and nutrition (72%) information contrasting lentils and animal-based protein sources. Overall, findings highlight how the lentil system supports multiple dimensions of sustainability based on the perspectives of study informants. Additionally, findings elucidate barriers and opportunities for promoting lentil in agricultural systems and diets. Impacts of market, policy, and climate change on lentil production, and lack of consumer knowledge on benefits of lentils to help meet food security through a sustainable diet, challenge sustainability dimensions of lentil in the food system.</p>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.076 | 0.002 |
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; both teacher heads agree on what is shown here.
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".