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Record W4312679990 · doi:10.24043/isj.407

Legal socialization, perceptions of the police, and delinquency in three Caribbean nations

2022· article· en· W4312679990 on OpenAlexvenueno aff
Hyunjung Cheon

Bibliographic record

VenueIsland Studies Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
FundersArizona State UniversityUnited States Agency for International Development
KeywordsSocializationJuvenile delinquencyPerceptionCriminologyContext (archaeology)Social psychologyPolitical sciencePsychologyGeography

Abstract

fetched live from OpenAlex

Legal socialization is the process by which individuals obtain their attitudes and beliefs about formal social control mechanisms such as the police, including how these are formed through domains of social life. These attitudes and subsequent beliefs toward the police, whether positive or negative, have been found to impact individuals’ compliance with the law and cooperation with legal authorities. Despite research advancements on legal socialization, the theoretical hypotheses drawn from this perspective have not been tested in the Caribbean context, a high crime and violence setting where the police are often viewed as corrupt, untrustworthy, and ineffective. This study uses data from 4,293 youths to examine the effect of socializing agents (i.e., family, school, and peers) on youth perceptions of the police in three nations – Guyana, St. Kitts and Nevis, and St. Lucia – and whether these perceptions impact delinquency. We find that legal socialization domains and perceptions of the police are important factors that influence delinquency in the Caribbean. Implications are discussed in light of future research and policy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score0.997

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 studies0.0040.000
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 head0.053
GPT teacher head0.388
Teacher spread0.335 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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