Addis Ababa Urbanism: Indigenous Urban Legacies and Contemporary Challenges
Bibliographic record
Abstract
Addis Ababa, the capital of Ethiopia, has been experiencing rapid urbanization as the entire country has transformed into an emerging market economy featuring a spectacular average ten percent GDP growth rate over the last ten years. However, this economic growth has not provided a poverty elimination momentum for the city where over half of its residents still live in slum areas and over thirty percent are unemployed or involved in informal economic activity. This paper examines the factors behind Addis Ababa’s inhibited urban progress focusing on urban legacies stemming from the city’s one-hundred-thirty years of independent development as well as on the present-day economic challenges. The empirical evidence suggests that there is a correlation between Addis Ababa’s inadequate investment in urban housing and infrastructure and Ethiopia’s low levels of foreign direct investment. Further analysis indicates that the country’s service-driven growth model of development may be contributing to overurbanization and poverty production in Addis Ababa.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".