{"id":"W1562556853","doi":"10.1108/13639510910937120","title":"Continuous training as a subject of negotiations in public and private policing","year":2009,"lang":"en","type":"article","venue":"Policing An International Journal","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Negotiation; Subject (documents); Private security; Training (meteorology); Public relations; Public security; Public administration; Business; Political science; Law; Computer science; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033172,0.00008624537,0.0001606131,0.000525456,0.0003551256,0.0003258096,0.0003075537,0.0000623348,0.00008646786],"category_scores_gemma":[0.0006056702,0.00008884429,0.00005275147,0.000232712,0.0001046612,0.001042881,0.00002054798,0.000288609,0.000004156886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142621,"about_ca_system_score_gemma":0.0002702616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1923968,"about_ca_topic_score_gemma":0.04871869,"domain_scores_codex":[0.9985952,0.0002260432,0.0003534329,0.0001180978,0.0003921838,0.0003150595],"domain_scores_gemma":[0.9991039,0.0001707469,0.000271012,0.00007698275,0.0001785257,0.0001988049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003946401,0.0002149991,0.3480245,0.000002174891,0.00006004382,0.00001300896,0.3799162,0.0002141113,0.003674186,0.1991103,0.0000725749,0.06865849],"study_design_scores_gemma":[0.0006123915,0.0001439173,0.9802577,0.000108411,0.00001396214,0.0002277967,0.007254886,0.0003604681,0.00004306999,0.008835844,0.001992368,0.0001491101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640445,0.000004027521,0.0001459468,0.01113991,0.0002428198,0.0000571975,0.000004893458,0.00002524163,0.02433552],"genre_scores_gemma":[0.9968348,0.0002812596,0.0005428215,0.001233303,0.000962631,0.000001111267,0.000002578103,0.000007162437,0.000134305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6322333,"threshold_uncertainty_score":0.9686397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08313851467443643,"score_gpt":0.4136691298764418,"score_spread":0.3305306152020054,"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."}}