Waste Management as a Measure to Achieve Sustainable Development in Kosovo
Bibliographic record
Abstract
Practicing the concept of sustainable development is the only viable solution to minimize the negative effects of economic development, aiming to preserve human health and increase the well-being of current and future generations, and simultaneously emphasizing the protection of the environment.In this context, one of the areas that should be given special attention is waste management.In order to protect human health and the environment from pollution and destruction, waste should be properly handled or managed.The term 'waste management' refers to the process of collecting, transporting, processing, recycling or depositing and monitoring waste materials.In order to protect people and the environment, waste management must meet sustainability criteria.When analyzing the situation in Kosovo from this aspect, it can be said that although efforts are being made to manage waste in Kosovo, the management is not sustainable at all.Therefore, numerous measures should be taken both by the central government and by the local authorities in order to introduce sustainable measures for waste management to achieve sustainable development in this sphere, preserve human health and protect the environment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".