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The Importance Of International Practices In Developing Communicative Competencies Of Future Internal Affairs Officers

2025· article· W7106318715 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Journal Of Social Sciences And Humanity Research · 2025
Typearticle
Language
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Competence (human resources)GlobalizationRelevance (law)EnforcementTerrorismAccreditationMulticulturalism

Abstract

fetched live from OpenAlex

Communicative competence has become one of the central professional attributes of modern law enforcement officers. The rapidly changing security landscape, globalization of social interactions, increased mobility of populations, and rising public expectations regarding transparency and ethical conduct require internal affairs officers to demonstrate advanced interpersonal, intercultural, and professional communication skills. International experiences in police education and practice provide valuable models for cultivating such competencies. This article critically examines the relevance of global practices in the formation of communicative competencies among future internal affairs officers, drawing on examples from the United States, the United Kingdom, Canada, Scandinavian countries, Israel, and the European Union. The analysis highlights the significance of community policing, crisis communication, multicultural interaction, emotional intelligence, and media literacy training. The article concludes that adopting and adapting international best practices can significantly enhance the effectiveness, legitimacy, and public trust toward internal affairs systems in developing countries.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.018
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.185
GPT teacher head0.519
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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