Understanding the Sustainability Tripod in the Context of Local Markets
Bibliographic record
Abstract
The crisis of the agri-food model opens space for discussion around food seeking more sustainable ways of production and consumption. The local markets can help to walk on this way, making the environment more sustainable. Thus, the article aims to analyze aspects related to environmental, social and economic sustainability with food product exhibitors in local markets in Canada and Brazil. Qualitative research was carried out at local markets, in the Concordia Farmers Market (CFM), in the city of Montreal - Canada and in the Mercado de Produção da Agricultura Familiar (FEPRAF), in the city of Júlio de Castilhos - Brazil. Data were collected through interviews and participant observation, and analyzed using content analysis. The results identified aspects related to environmental sustainability (organic and artisanal foods without chemicals and waste reduction), social (local markets generate an opportunity to strengthen relationships between producers and customers, bonds and exchange of information) and economic (appreciation of local products by developing the region's economy).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".