Budget sheets and buy-in: financing community-based waste management in Siem Reap, Cambodia
Bibliographic record
Abstract
This paper details some of the difficulties in financing a community-based waste management (CBWM) project for the collection of waste in Siem Reap, Cambodia. It presents a series of financing scenarios based on several potential logistical arrangements. The financial variables investigated include labour costs and honorariums, collection fees, charges for secondary collection, land and equipment costs, and educational programmes. The case study illustrates how the loss of a political champion and a lack of cooperation by a private waste collection company derailed the financing of a CBWM project despite the presence of other favourable conditions for its success. The waste collection company's participation was fundamental to ensuring the affordability of secondary waste collection, and this one financial element greatly affected the feasibility of the entire system. The paper concludes that without buy-in and financial cooperation from all stakeholders, the best laid plans for CBWM (and the accompanying budget sheets) are rendered irrelevant.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".