Bibliographic record
Abstract
Abstract The history of Ethiopia during the 19th century involved three fundamental processes: (1) the Zämänä Mäsafənt (Era of Princes) and its coming to an end under Kassa Häylu, later Emperor Tewodros II; (2) the repeated attempts by Egypt and Italy to colonize Ethiopia, culminating in the Battle of Adwa on March 1, 1896; and (3) Mənilək’s territorial expansion and conquest of what is now southern Ethiopia during the last quarter of the 19th century in campaigns known as agär maqnat. These three distinct, yet related, processes laid the foundations for the making of modern Ethiopia. The end of the Zämänä Mäsafənt was a key factor in centralizing state power in the hands of the emperors of Ethiopia. It enabled consolidating the power of the regional lords under the emperor, which in turn played a critical role in confronting Egypt and Italy’s colonial intrusions in the late 19th century. Mənilək’s territorial conquests in the south further strengthened the state, garnering vast human and material resources that played a critical role in the Ethiopian victory at the Battle of Adwa. All three processes worked in tandem: the end of the Zämänä Mäsafənt created a strong centralized state; such a state succeeded in nipping in the bud the colonial invasions of Egypt and Italy; and the successes of the agär maqnat campaigns added to the overall strength of the country. It also laid the ground for the problems of the 20th century, chief among them being the “national question.”
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".