Registration and Georeferencing of the Family Farming Production Chain in Itapúa Department, Paraguay
Bibliographic record
Abstract
This work aimed to develop two computerized systems, modeled to record and provide information about family farming activities within Itapúa Department-Paraguay. Meetings were held with Government members and municipal technicians to obtain all the requirements and to gather all the details that are relevant for the development of the application. Thus, with all the available information, it was possible to organize and structure the two proposed systems to collect data on rural producers, their properties, their production, family composition, livestock production, processed products, infrastructure, input use, etc. As a result an application for Android called C7-SustenLAF and a Web system was developed, where the main application’s function is to carry out the data registration of the rural producers, thus providing georeferenced data, in turn the Web system has the purpose of generating and structuring the information as well as enable data retrieval by giving a series of filter options for different characteristics that are registered from the application. Thus, it is expected that these systems, used specifically to give information, can help the Government of Itapúa - Paraguay to take strategic actions and give support to the Family Farming field, contributing to better management and technical assistance to producers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".