Towards an Integrated Approach to Solid Waste Management in Ghanaian Cities
Bibliographic record
Abstract
Solid Waste Management (SWM) in cities has become a theme of utmost importance in urban geographycompared to studies in rural areas which have smaller population sizes and limited consumption optionsthat are relatively more manageable. Existing studies reveal that integration of formal and informal SWMactors is the needed mechanism to overcome SWM challenges. Integration is also at the heart of the 2012Ghana National Urban Policy, yet urban spaces are zoned under public-private partnership (PPP)arrangement with private formal SWM actors. How to integrate the burgeoning numbers of privateinformal SWM service providers still remains unaddressed owing to a host of disparate institutional,political, and socio-economic factors. Using field-based data collected in three open-air markets in Accra,this paper examines the integration pathways used to include informal SWM actors in the context of PPPand thence argues for the need to rethink current SWM approaches in a participatory manner since mostGhanaian cities are facing limited financial and infrastructural resources, growing inequalities andincreasing informality regarding urban metabolism flow.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".