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
<p>The purpose of this paper is to investigate the current trend of solid waste management in Nigeria and to identify the major challenges inhibiting the attainment of sustainable solid waste management in the country. The study relied on a desktop study approach; hence, data were obtained from previous publications relevant to the current study, particularly from peer reviewed publications. Sources such as waste management agencies websites, reports and documents, journal articles, environmental organizations reports and books were also used to obtain information and data.</p><p>It was found that solid waste management is a major concern in the country. Inadequate environmental policies and legislations, low level of environmental awareness, poor funding and inappropriate technology, corruption and unplanned development were some of the challenges facing solid waste management in the country. As a result, the paper concludes that for waste management to work, various aspects of Government services such as engineering, urban planning, Geography, economics, public health and law among others must be brought together under a proper policy to deliver an effective waste management system.</p>
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 | 0.002 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it