Citizens, Civil Society, and Activism under the EPRDF Regime in Ethiopia: An Analysis from Below
Bibliographic record
Abstract
There has been a political and public discourse on how the oppressive Ethiopian People’s Revolutionary Democratic Front (EPRDF) regime fell down in 2018, and this book offers an answer by discussing the collective and individual as well as internal and external actors, using the mainstream or social media activism in the process. It is a novel book, which precisely articulates how Civil Society Organizations (CSO)s and a [non]-violent civil movement emerge, relate to the state, operate, and brought a change in an authoritative and a repressive rule in Ethiopia. The introduction section presents an innovative theoretical framework in understanding the dynamics of state–society relations. The first chapter examines the historical genesis of resistance against the EPRD, and this shed light on understanding the dynamism of the evolution of non-violent struggle in African imagined undemocratic and authoritarian states, and the role of civil society activism in the process, by taking the processes leading to Ethiopia’s 2018 political change. It situated the resistance to the mistrust relations and how the state manages CSO.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".