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Record W7128474627 · doi:10.64903/1480-6800.21.1.1

The Unique and Innovative Contribution of Omdurman City to National Unity and Nation Building in Sudan from 1900 to the 1980s

2018· article· W7128474627 on OpenAlexvenueno aff
Mohamed Babiker Ibrahim

Bibliographic record

VenueArab world geographer · 2018
Typearticle
Language
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupPoliticsPopulationNational UnitySocial changeCultural center

Abstract

fetched live from OpenAlex

The objective of this study is to investigate the factors that enabled the city of Omdurman to grow and become an important socio-cultural, political and innovative urban center that contributed positively to Sudanese national unity and nation-building from 1900 to the late 1980s. Studies of how cities have been agents of change and cultural diffusion are rare and the importance of this study is that it bridges this gap. The growth and influence of cities on their hinterland is based on one or more functions, administrative, political, religious, or inter alia in trade and commerce. Omdurman has played these multi-functional roles. While the population of Omdurman is composed of different ethnic groups which represent a real challenge for social integrity, they were able to attain a social homogeneity and become an innovative socio-cultural society that played a significant role in enhancing Sudanese national unity and nation-building. The peaceful environment and homogeneity of the society of the city have contributed significantly to the innovation and advancement of cultural traits, art, education, politics, media and sport that have made Omdurman a unique Sudanese city. Omdurman continued to play this role until the end of the 1980s, and now for environmental, political and economic reasons has lost most of its inherited characteristics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.294
Teacher spread0.268 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2018
Admission routes1
Has abstractyes

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