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
This paper critically examines the impacts of Chinese-backed infrastructure projects in Uganda, focusing on the tensions and conflicts surrounding their development. It highlights how the anticipated benefits of these projects are often contested and met with collective resistance. Drawing on interdisciplinary frameworks of state capacity and contentious politics, we analyze two key examples of Chinese-backed infrastructure projects in Uganda: the Kampala-Entebbe Expressway (KEE) and the Entebbe International Airport Expansion Project. Our central argument is that Uganda’s weak state capacity facilitates poorly planned and executed projects, leading to their failure to meet expectations. Discontent arises from the gap between the promised futures of these infrastructure projects and the disappointing realities they have produced. This disconnect can be attributed to systemic issues stemming from the state’s inability to effectively govern and manage the projects. The consequences of Uganda’s weak state capacity include widespread corruption, a lack of transparency and accountability, disregard for human rights, inadequate risk assessment, and poor adherence to regulations. Furthermore, limited community engagement and the failure to address local concerns have compounded the socio-political challenges facing the country. These issues are reflected in the growing public disillusionment, as evidenced by the recurring protests against the government.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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