Characteristics and Motivations of Consumers of Direct Purchasing Channels and the Perceived Barriers to Alternative Food Purchase: A Cross-Sectional Study in the Ecuadorian Andes
Bibliographic record
Abstract
Modern food systems generate social inequalities in the access to healthy food, but some families maintain behaviors that provide an alternative to these systems. Agroecological consumers (ACs) and non-agroecological direct market consumers (DMCs) are key actors in alternative food systems. We assessed the characteristics of ACs and DMCs using data from a representative sample of households in Ibarra, Quito and Riobamba (n = 2914). We also deepened the exploration of motivations for adopting these practices through mini-ethnographies with families who were identified as ACs or DMCs (n = 15). We found motivations related to personal health problems, food quality (e.g., taste, freshness), and safety (e.g., avoiding pesticides) to be key. Other motivations were price and community solidarity with farmers. Barriers included inconvenience, lack of awareness, and insecurity of market location. Using Chi-square tests, we found differences between ACs and DMCs on place of residence, education, employment, health, and diet. Controlling for socioeconomic and health variables using logistic regressions, we found DMC dietary habits to be similar to the remainder of the study population, except that they were less likely to eat processed foods less frequently (adjusted odds ratio (AOR) 0.6, 95% confidence interval 0.4–0.9). In contrast, ACs were more likely than the remainder of the study population to control their salt intake (3.2, 1.9–5.2) and have greater knowledge of nutrition labels (2.8, 1.7–4.6). They were more likely to eat traditional foods frequently (1.9, 1.1–3.3), fruit and vegetables daily (1.6, 1.0–2.8), and processed foods less frequently (2.7, 1.5–4.8). Hence, these two types of alternative food provisioning practices (AC and DMC) were adopted by different types of consumers, with heterogenous motivations and food consumption practices. These findings have implications for public health initiatives aiming to scale up the nutrition and ecological potential of alternative food systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 source (direct Gemma or distilled Codex), 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".