Considerations in the Methodology for the Technical-Environmental Viability of Sanitary Landfills in Rural Communities. Northern Case of the Province of Santa Elena, Ecuador
Bibliographic record
Abstract
This research focuses on providing a solution to rural sectors' problems regarding solid waste management and final disposal. It considered the Sanitary Landfill (SL) technical-environmental viability for rural communities in the north of Santa Elena-Ecuador. The objective is to propose a methodology for evaluating a sanitary landfill's technical-environmental viability, considering a Key Factors Matrix (KFM) for the possibility of its application in rural communities. The proposed methodology is based on: i) identification of preliminary and field data for assessment of the sector through the KFM, and ii) determination of the technical-environmental viability of an SL according to the aspects considered. The KFM allowed the Ayangue commune to be chosen for the location of the SL under certain precautions. Given this sector's tourist influence, solid waste accumulates 40 tons per day from the ninth year on. Therefore, it is recommended to bear in mind a possible restructuring of the SL, from a semi-mechanized system to a fully mechanized one.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".