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Record W4283168546 · doi:10.1177/10439862221096957

Policing and Religion in Tuvalu: Perspectives on Navigating Tensions Between Multiple Security Actors

2022· article· en· W4283168546 on OpenAlexaff
Sara N. Amin, Danielle Watson, Tanya Trussler

Bibliographic record

VenueJournal of Contemporary Criminal Justice · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsMount Royal University
FundersUniversity of Notre Dame Australia
KeywordsIndigenizationNegotiationIndigenousState (computer science)Context (archaeology)GlobalizationPolitical scienceIdeal (ethics)Community policingPolitical economySociologyLawPublic administrationGeography

Abstract

fetched live from OpenAlex

Although religious institutions are an important agent of non-state policing, especially in the Global South, there is a limited understanding of the relationship between religion and policing. The Pacific presents an ideal context in which to examine the relationship between religious and policing institutions in Christian majority postcolonial societies. Moreover, state and religious institutions in the Pacific Island States are currently being subjected to powerful processes, including economic liberalization, globalization, and localization/indigenization, producing both opportunities but also contestations and conflicts. Using interviews with police officers, religious leaders, and community leaders, this article examines how police officers negotiate the tensions between (secular) state law, indigenous structures of authority, and religious authorities in Tuvalu.

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)0.002
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 score0.177
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.012
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.002
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 head0.055
GPT teacher head0.343
Teacher spread0.288 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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