Displaced for housing: analysing the uneven outcomes of the Addis Ababa Integrated Housing Development Program
Bibliographic record
Abstract
The population of Addis Ababa, Ethiopia’s capital and largest city is growing at a remarkable pace. Similar to other places in the Global South, rapid urban population growth poses significant challenges for Addis Ababa, the most important of which is acute housing shortage. Around 80% of the housing stock in the city is considered sub-standard, lacking essential utilities and services. In recognition of the severity of the housing crisis, the Ethiopian People’s Revolutionary Democratic Front (EPRDF), which governed Ethiopia from 1991–2018 introduced the Integrated Housing Development Program (IHDP), an ambitious plan to construct hundreds of thousands of condominium units. However, despite the IHDP’s pro-poor aims, the program has been criticized for failing to benefit the city’s poorest residents. Focusing on IHDP-induced displacement and resettlement to re-politicize the issue, this article demonstrates how in some instances, the IHDP not only failed to benefit the urban poor but actually deepened material inequality.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".