The waste hierarchy: a strategic, tactical and operational approach for developing countries. the case study of mozambique
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
Waste management in Europe is shaped by the waste hierarchy, which guides the legislation and policy of the Member States. This hierarchy applies the following order of priority: (1) prevention; (2) preparing for reuse; (3) recycling; (4) other recovery; (5) disposal. The wide acceptance of this principle in Europe comes from a yearly developed pathway that should not be exported to other countries without consideration of the local framework. Poverty is widespread in most African countries, with the majority of the population surviving on less than 2 US dollars a day and the average waste production per capita being about half the quantity produced in Europe. However, municipal solid waste management is still inadequate throughout the region, with open waste burning and dumping being the only method of disposal in enormous cities. These in turn arise without any planning or basic infrastructure such as roads, sewers or waste landfills. We used the case study of Mozambique to define a strategic, tactical and operational approach for the implementation of the waste hierarchy and to customize it to the local situation. Like other African countries, the major weaknesses in the performance of waste management are the poor legal framework, the lack of institutional structures and the ineffective and poorly coordinated initiatives of the international stakeholders. We propose an interpretation of the waste hierarchy in order to compensate for local deficiencies and to define a local framework for the policy makers whereby prevention is no longer a priority in the short term, in order to stress the awareness and the collection. These are consolidated steps of waste management in industrialized countries but which still pose a challenge in developing nations.
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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 it