Bibliographic record
Abstract
This study explores whether State political ideology in Ethiopia influenced the academic autonomy of that country’s universities. It asks what the historical trends in the development of higher education show about political ideology and its relationship with university autonomy in the Ethiopian context. After reviewing different university autonomy models (Berdahl, 1990; Choi, 2018; Ordorika, 2003; Reilly, Turcan & Bugaian, 2016), the study delineates the primary stakeholders of academic autonomy, namely, academic staff, students, and the government. It discusses academic autonomy in a comparative light across three regimes in Ethiopia, namely, the Imperial (1916-1974), the Socialist (1974-1991), and the Revolutionary Democratic regimes (1991-2018). Data from various sources show that in all these three regimes, the State negatively influenced academic autonomy, including by imposing a particular political ideology that was favored by the government in power at the time. However, the form and level of State influence have varied across these regimes.
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.
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 | 0.000 | 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 | 0.000 |
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".