{"id":"W2156377021","doi":"10.1177/1748895813476874","title":"The construction of race and crime in Canadian print media: A 30-year analysis","year":2013,"lang":"en","type":"article","venue":"Criminology & Criminal Justice","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Racialization; Newspaper; Criminology; Dehumanization; Race (biology); White (mutation); Content analysis; Criminal justice; Cultural criminology; Dark figure of crime; Psychology; Political science; Sociology; Gender studies; Law; Social 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004987669,0.00009999285,0.0002240001,0.0003369198,0.0004625952,0.00006813653,0.0002450331,0.0001319912,0.001380823],"category_scores_gemma":[0.0007264142,0.0000850986,0.00009024914,0.0002705924,0.001106767,0.0001364118,0.00005350296,0.0002023051,0.0000604487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209423,"about_ca_system_score_gemma":0.0002176969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6678932,"about_ca_topic_score_gemma":0.6433496,"domain_scores_codex":[0.9985994,0.0002377532,0.000321936,0.0002259418,0.0001501806,0.0004647731],"domain_scores_gemma":[0.9988714,0.0003828511,0.0001112601,0.0002065617,0.0002233324,0.0002046054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005267643,0.0001887877,0.1668302,0.0003011917,0.0005606719,0.00003684501,0.1413563,0.00002321686,0.0006962019,0.6256937,0.002352294,0.06190788],"study_design_scores_gemma":[0.000294685,0.00008524306,0.6122729,0.00003506335,0.003891447,0.00001113494,0.3750663,0.0002018067,0.0002227974,0.002553796,0.005152544,0.0002123784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885206,0.0003982455,0.0001342342,0.001965854,0.0003450587,0.0001797918,0.000007959355,0.00001404106,0.008434216],"genre_scores_gemma":[0.9988708,0.0003625821,0.0003749253,0.0001048139,0.00007418191,0.00002735647,0.000003594772,0.000005562246,0.0001761906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6231399,"threshold_uncertainty_score":0.999532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759754784196372,"score_gpt":0.335220257041004,"score_spread":0.2776227091990403,"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."}}