La aplicación de MESMIS para el impulso de la agricultura urbana yperiurbana en la construcción de territorios sustentables en el Centro deMéxico
Bibliographic record
Abstract
This paper is the result of the research entitled “Towards food sustainability: Urban and peri-urbanagriculture networks in Central Mexico”, whose objective is to examine the interrelationships ofrural-urban spaces in function of the sustainability of urban and peri-urban agriculture to formshort circuits for the benefit of the environment and peasant lifestyles within the agri-food systemsof the region within the framework of the project “Mega-Urbanization in the Central Region ofMexico, Socio-Territorial Inequality and New Peri-Urbanization Processes. (Project PAPIIT IG300122). The analysis approach was carried out with the Framework for the Evaluation of NaturalResource Management Systems Incorporating Sustainability Indicators (MESMIS) for two casestudies of new markets derived from agroecology brought about in the midst of the Sars Cov-2,Covid-19 pandemic. Likewise, cartographic tools were used to integrate agri-food systems. Thediscussion addresses how urban agriculture practices contribute to improving local food systems.The results identify the basket of goods offered by peri-urban territories to guide regions andfood systems towards sustainability, seeking to strengthen the preservation of social and naturalresources in the Central Region of Mexico.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".