Impacts of COVID-19 Outbreak on the Municipal Solid Waste Management: Now and beyond the Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
equiv/tonne, respectively, which widely depend on the sterilization and disposal processes. Similarly, MSW and SMW disposal costs varied from 90 to $242/tonne and 12 to $1530.0/tonne, respectively. Various changes made to waste collection and management because of the COVID-19 pandemic affected waste segregation and recycling. Since the start of the pandemic, various sectors, including the food, waste management, and healthcare sectors, relied on the increased use of single-use plastics to prevent transmission of COVID-19. An environmentally friendly alternative (biodegradable/compostable) to widely used single-use plastics is desired for easing waste management problems. Although various initiatives are underway to manage growing volumes of MSW and SMW, while controlling the spreading of infectious diseases, the movable grate incineration technology coupled with an adequate disinfection process presents a potential solution in managing the COVID-19 waste challenges. The proper disinfection method and technological choices can mitigate the risk of spreading infections and can improve the waste management system's sustainability, especially the contaminated waste.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 it