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Record W4381094150 · doi:10.24043/001c.81116

Policing and Justice in Island Communities

2023· article· en· W4381094150 on OpenAlexvenueno aff
Wendell C. Wallace, Malisa Neptune-Figaro

Bibliographic record

VenueIsland Studies Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipEconomic JusticeSociologyHegemonySection (typography)ColonialismDecolonizationThematic analysisThematic mapEnvironmental ethicsPolitical scienceSocial scienceLawGeographyQualitative researchCartography

Abstract

fetched live from OpenAlex

Research focusing on policing and the justice systems from an island perspective is available, but extremely rare. Additionally, available research on policing and justice systems in island contexts is usually conducted by non-island scholars using a limited frame of reference on ‘islandness’. It is, however, academically imprecise and improper to universalise scholarship from countries with large land masses onto islands with unique topographies and challenges. This thematic section highlights the inherent qualities of policing and justice systems in island communities by engaging with the existing body of island studies literature and through theoretically informed and methodologically appropriate research conducted by scholars at a mix of career levels. The authors in this thematic section present their scholarly efforts from diverse perspectives and contribute to decolonization efforts in island studies. Ultimately, the articles call for a move away from colonial epistemology and hegemony in knowledge production. In sum, this thematic section contributes to the emergent body of literature on both policing and the justice systems and studies on island communities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.387
Teacher spread0.302 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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