Public preferences for improved urban waste management: a choice experiment
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
Abstract A discrete choice experiment, aiming to elicit public preferences for improvements in solid waste services, is carefully administered across socioeconomic zones in the city of Hawassa, Ethiopia. Observed and unobserved preference heterogeneity are analyzed using mixed logit choice models. The results show that there exists substantial willingness to pay to increase collection frequency and separate recyclable waste. A new issue is the focus on child labor in the waste management sector. Significant gender effects are found: women are more interested than men in increasing waste collection frequency and value the abolishment of child labor more highly, as do higher income households. As expected, respondents living in wealthier neighborhoods are more likely to pay higher service charges. Education indirectly influences preferences for waste separation. The study provides important insight into the social benefits of public investment decisions to improve the quality of solid waste management services in large cities in Ethiopia.
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.
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 | 0.000 | 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) | 0.001 | 0.001 |
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