{"id":"W2113290561","doi":"10.1017/cls.2013.31","title":"“The Disorderly Conduct of a Few”: Crime and Hamilton’s Racial Geography in the Early 1850s 1","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Law and Society / Revue Canadienne Droit et Société","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Census; Innocence; Population; Economic Justice; Space (punctuation); Race (biology); Criminal justice; Criminology; Sociology; Geography; Genealogy; History; Law; Gender studies; Demography; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006861378,0.0001224718,0.0002657804,0.001793419,0.01724909,0.002672343,0.0008563984,0.0008715392,0.002996763],"category_scores_gemma":[0.001731603,0.0002860214,0.0001077413,0.001922653,0.01685124,0.001364775,0.002612598,0.001508064,0.0001474157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03067414,"about_ca_system_score_gemma":0.01452892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9264378,"about_ca_topic_score_gemma":0.971786,"domain_scores_codex":[0.9987934,0.0003034701,0.00002367598,0.0001071003,0.0001635485,0.0006086934],"domain_scores_gemma":[0.9987772,0.0002447614,0.0002199457,0.00004712991,0.0002824967,0.0004284654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006993409,0.0000301472,0.061449,0.00005861619,0.00001697487,0.001303534,0.7126366,0.0001234306,0.0006604067,0.1930314,0.01186675,0.01875322],"study_design_scores_gemma":[0.00001156829,0.00005473419,0.3761679,0.0001524428,0.0000267358,0.0006153816,0.380954,0.0002051598,0.0005497879,0.01176414,0.2294157,0.00008242561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210842,0.0008420172,0.0002270774,0.007436444,0.00006151527,0.0000322074,0.0001713756,0.000007427191,0.07013775],"genre_scores_gemma":[0.9955652,0.0001364953,0.00004755057,0.0002596667,0.000006962473,0.00000361092,0.00001170654,0.000003479725,0.003965199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0735622,"threshold_uncertainty_score":0.2225575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318871148442818,"score_gpt":0.2403975130834215,"score_spread":0.2272088015989933,"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."}}