Measuring the Economic Benefits for Reusing Organic Wastes in Generating Gas and Electricity to Create Self-Sustain City
Bibliographic record
Abstract
Some cities in the Global South are challenging the adverse effects of accumulating waste, which pollutes the environment and affects public health. This research presents a solution to get rid of organic waste and reuse it to generate energy. The research methods included a two-stream approach of data collection in: a qualitative method of collecting data using a field survey in Egypt and a quantitative way of measuring the amount of energy generated from using anaerobic digesters. The results revealed that anaerobic digester tanks produced 396 more than the gas consumed by the community and covered 3.6% of the electricity needed. The findings compared the energy generated from storing organic waste in anaerobic digester tanks with the power consumed by citizens. The results indicated that Egypt has challenges managing organic waste and needs innovative policies to confront draining a large portion of the local economy and causing environmental hazards.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".