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Ethiopia in the Nineteenth Century

2018· reference-entry· en· W2884761443 on OpenAlexaboutno aff
Teshale Tibebu

Bibliographic record

VenueOxford Research Encyclopedia of African History · 2018
Typereference-entry
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEmperorBattleAncient historyVictoryHistoryQuarter (Canadian coin)GenealogyArchaeologyPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.”

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.482
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.065
GPT teacher head0.343
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

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