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Record W1585576123

Why Boko Haram kidnaps women and young girls in north-eastern Nigeria

2014· article· en· W1585576123 on OpenAlexaff
Benjamin Maiangwa

Bibliographic record

VenueConflict trends · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBoko haramIslamState (computer science)IdeologyGovernment (linguistics)SociologyGender studiesPolitical scienceLawPoliticsHistoryInsurgencyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Since its re-emergence in 2010, Nigeria's Islamist group Boko Haram (meaning 'Western education is sinful') has been unleashing a systematic campaign of bombings, kidnappings and drive-by shootings across much of northeastern Nigeria. The group, whose ultimate aim is to Islamise Nigeria, is convinced that secular education (boko) and Westernised elites (yan boko) are the twin problems of the Nigerian state. By its own definition, Boko Haram claims to be Salafist, devoted to austere and fundamentalist interpretation of early It is also jihadist, indicating a commitment to actively promote its cause. The group's founder, Mohammed Yusuf, noted before the uprising of 2009 that: We are for jihad, and our jihad is intended to make us [Muslims] return to the original state of Islam. Boko Haram also espouses an ultra-Salafi ideology that regards women as inferior to men and considers Christian women, in particular, as of an outcast. Attacks by Boko Haram on schools in north-eastern Nigeria have been rampant. In July 2013, members of the group stormed a boarding school in Yobe State and set 29 students and one teacher alight. In 2012, the group distributed pamphlets and videos and delivered sermons throughout northern Nigeria, calling for girls to be denied modern education and promising to abduct infidel women as slaves. In March 2014, about 85 secondary schools were closed and over 120 000 students were sent home by the Borno State government, following increasing attacks on schools by Boko Haram. On the night of 14-15 April 2014, Boko Haram gained worldwide publicity and social media activism (through the #BringBackOurGirls campaign) when it kidnapped over 200 schoolgirls sitting for their final exams in the town of Chibok in Borno State. The Nigerian government's inertia to take any action in response to the Chibok abductions, combined with the confusion over the actual number of girls kidnapped, drew widespread local and international condemnation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.020
GPT teacher head0.292
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2014
Admission routes1
Has abstractyes

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