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Record W4411618253 · doi:10.51847/50natnkl8m

10.51847/50NatNkl8M

2000· article· en· W4411618253 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExposition (narrative)Thematic mapComputer securityComputer scienceGeographyArtCartographyLiterature

Abstract

fetched live from OpenAlex

Nigeria is a diplomatic force within West Africa, a major participant in continental African politics and an important international actor.As the world's seventh-most-populous country, its 14thlargest oil producer and home to Africa's fifth-largest military, Nigeria possesses tremendous resources.Yet Nigeria's internal security challenges and political dysfunction constrain its role on the regional, continental and world stages.Cyclical violence undermines the rule of law and entrenches intercommunal enmities.Pervasive corruption drains funding from services and infrastructure and saps public confidence in government.Policy implementation often proceeds haphazardly and generates backlash.Finally, "do-or-die" electoral politics, as former President Olusegun Obasanjo characterized the country's voting culture, heightens political violence and elevates political tensions.The insecurity situation in the country has made Nigerians more interested in issues relating to security.For example, it would not be strange to have citizens discussing budget allocation to security and law enforcement agencies, rules of engagement of security operatives in the northern part of the country, operational strategy or procedure of JTF and other security agencies, equipments purchased, watch with keen interest parliamentary debates or discussions in respect of Baga (or any similar situation).This has become so topical that it has become focus of media, academic and NGO reports.This paper seeks to add to the debate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.929
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9660.978

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 head0.008
GPT teacher head0.192
Teacher spread0.183 · 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 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

Citations4
Published2000
Admission routes1
Has abstractyes

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