{"id":"W4414606032","doi":"10.35502/jcswb.478","title":"Digital community management for crime prevention and public safety: Strategies for safer and more inclusive online communities","year":2025,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safeguarding; Social media; Best practice; Digital media; Moderation; Community policing; Public engagement; Online community; The Internet; Community engagement","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001650138,0.0002236455,0.0004383231,0.000252321,0.003453664,0.000559735,0.0007008696,0.00007229058,0.000001803578],"category_scores_gemma":[0.00006848994,0.0002010294,0.0001147398,0.0001636365,0.0002848549,0.001669549,0.001837714,0.0006877779,9.738223e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006582688,"about_ca_system_score_gemma":0.00007154552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002096433,"about_ca_topic_score_gemma":0.0004456597,"domain_scores_codex":[0.9984118,0.0004240043,0.0006502754,0.00008012082,0.0001705125,0.0002633141],"domain_scores_gemma":[0.9973013,0.001589841,0.0002737693,0.0004355648,0.0003166492,0.00008282919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007033122,0.0006489293,0.001414226,0.001159114,0.0009492041,0.000002349331,0.03917912,0.00008612972,0.00001872653,0.6634637,0.0006541983,0.291721],"study_design_scores_gemma":[0.007804541,0.001912669,0.06642782,0.001531842,0.000443213,0.00008869744,0.3234236,0.004863894,0.00007225438,0.464534,0.1282223,0.0006751817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3282043,0.001503898,0.626756,0.009749649,0.0002536783,0.0009762307,0.00004246415,0.00006208912,0.03245178],"genre_scores_gemma":[0.9922839,0.002282365,0.004081051,0.0008463595,0.00003370534,0.000009006334,0.00004790568,0.000009791499,0.0004058698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6640797,"threshold_uncertainty_score":0.9978437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192987546064022,"score_gpt":0.3031613748272139,"score_spread":0.2812314993665737,"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."}}