{"id":"W2304313297","doi":"10.5539/jel.v5n2p258","title":"Improving Law Enforcement Cross Cultural Competencies through Continued Education","year":2016,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Enforcement; Interpersonal communication; Multiculturalism; Public relations; Criminal justice ethics; Political science; Cultural diversity; Law; Sociology; Public administration; Criminal justice; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002688325,0.0003446913,0.0002826845,0.0009813831,0.001641406,0.002960898,0.0009747531,0.0007189185,0.01410958],"category_scores_gemma":[0.007017801,0.0002333847,0.0003592031,0.0003658229,0.0005897037,0.001570907,0.004285975,0.001397849,0.001941601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425749,"about_ca_system_score_gemma":0.009180849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741185,"about_ca_topic_score_gemma":0.01172181,"domain_scores_codex":[0.9983822,0.0005275505,0.00008003342,0.0001290376,0.0004899667,0.0003912885],"domain_scores_gemma":[0.9953284,0.0007737359,0.0005109085,0.0003158977,0.0007425031,0.002328495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009497406,0.01672484,0.03621846,0.0003480656,0.00003540537,0.0002242525,0.004220961,0.0005968018,0.001319212,0.004085434,0.03693168,0.8991999],"study_design_scores_gemma":[0.0006205717,0.007381573,0.4861872,0.006302424,0.0001985667,0.001453052,0.04100077,0.006075635,0.01045962,0.02206814,0.418082,0.0001705188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8206194,0.001490908,0.007288375,0.02540062,0.0004348115,0.001048704,0.000271262,0.0006604396,0.1427855],"genre_scores_gemma":[0.9259697,0.002164307,0.03134885,0.003104966,0.00009529734,0.0007355764,0.0003273496,0.00004259717,0.03621139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01410958,"threshold_uncertainty_score":0.04720128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140916667880648,"score_gpt":0.4992327984191982,"score_spread":0.3851411316311333,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}