YARD WASTE COMPOSTING AS A VIABLE COST REDUCTION PROCESS
Bibliographic record
Abstract
Yard waste consist of garden waste, generated by public parks and private gardens routine maintenance such as grass clippings, leaves from deciduous trees, flowers, fallen fruits, branches, twigs and logs and its composition vary greatly depending on the original location due to climate and other environmental conditions. Yard waste may represent a problem to Municipal Solid Waste Management Programs due to its large volume thus, it is necessary to incentivize local composting programs. In this study we show a brief disposal cost estimation from different cities from United States of America and Canada and we discuss how this biowaste can be managed in order to reduce costs with storage, transportation and disposal fees, encouraging the utilization of the final product as a soil amendment, stimulating and reinforcing the circular economy concept. The composted yard waste may not substitute the use of commercial products but it can reduce the cost of acquisition of this soil conditioner as well costs waste management. Update in environmental public policies is essential to foment sustainable economy in this context.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".