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Record W1898645030

New Missions and Roles of the Military Forces: The Blurring of Military and Police Roles in Nigeria

2009· article· en· W1898645030 on OpenAlexvenueno aff
Emmanuel O. Ojo

Bibliographic record

VenueJournal of military and strategic studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolityMilitarizationPolitical scienceDemocracyCivil–military relationsLawPolitical economySociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

No doubt, the existence of the military is a sine qua non to the continuing existence of the polity. But when not properly managed or deployed to perform functions that are alien to its constitutional and traditional responsibilities, the outcome is usually telling, that is the thrust of this paper. Using two case studies of circumstances when the military was deployed to perform police duties more so, in a democratic dispensation – Odi and Zaki-Biam massacre – the paper chronicles the damage done as a result of the over militarization of the civil polity. The paper infers that it is not the best for the country to blur both the military and police functions in critical moments. The paper is a modest contribution to the debate on civil military relations in Nigeria.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0060.006
Open science0.0000.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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 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

Citations16
Published2009
Admission routes1
Has abstractyes

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