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Record W2098188403 · doi:10.5539/ass.v11n10p307

Towards Understanding the Boko Haram Phenomenon in Nigeria

2015· article· en· W2098188403 on OpenAlexvenueno aff
Ahmed Aliyu, Nor Azizan Idris

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsBoko haramPhenomenonGovernment (linguistics)PoliticsState (computer science)Political scienceSectSecurity forcesDevelopment economicsInsurgencyChinaPolitical economyEconomic growthSociologyLawEconomics

Abstract

fetched live from OpenAlex

Current international media reports on Nigeria indicate that it is having some serious security challenges arising from the destructive activities of Boko Haram insurgent group. Furthermore, similar reports show that attempts by the Nigerian government to overcome the problem appear to be in effective resulting in loss of several lives and properties almost on a daily basis. Thus, prompting the government to seek for international support from United States of America, China and other European states. Against these aforementioned developments in the country, this paper attempts to examine the evolution, operational strategy, effects of Boko Haram insurgent group’s activities and response of the Nigerian government. The paper employed qualitative research method and specifically used content analysis to review existing secondary data relating to Boko Haram phenomenon. Among the findings of the paper is that, Boko Haram phenomenon which emerged in 2002 within the north-eastern state of Borno as a peaceful religious sect has been transformed into a deadly terror organization. Political, external forces and lack of comprehensive approach by the Nigerian government have been identified as some of the factors which contributed in worsening the situation. As a result several lives and properties have been lost. It is therefore, the opinion of the paper that while attempting to overcome the challenges posed by the insurgent group, Nigerian government should at the same time begin to address some of the issues that led to their emergence and spread.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.083
GPT teacher head0.358
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations12
Published2015
Admission routes1
Has abstractyes

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