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Record W4391446247 · doi:10.21810/jicw.v6i3.6193

Behind the Badge: Unraveling the Attitude of the Police towardsVigilante activities in Osun State, Nigeria.

2024· article· en· W4391446247 on OpenAlexvenueno aff
Taofeek Oluwayomi Gidado, T.A. Yusuf

Bibliographic record

VenueThe Journal of Intelligence Conflict and Warfare · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)GeographySocioeconomicsSociologyComputer science

Abstract

fetched live from OpenAlex

The Nigerian Police Force is the statutory body saddled with the protection of lives and property. Unfortunately, mistrust exists between the police and the citizens for perceived corruption and reported abuse of citizens' freedom. As a result, people resort to the use of vigilante for the protection of lives and property. The normalization of vigilante groups for crime prevention poses a challenge to the security architecture of the country and leads to a conclusion that ignores the attitude of the Police to the indiscriminate use of vigilante for crime prevention. Questionnaires were administered to police officers who have spent not less than five years of service in the Police Force. Police officers expressed disapproval for the activities of the vigilante and contend that the activities of the vigilante groups undermine their statutory responsibility to curb crime and protect the society.

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)0.003
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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.375
Teacher spread0.316 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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