{"id":"W2268461570","doi":"","title":"The Power to Govern Men and Things’: Patriarchal Origins of the Police Power in American Law","year":2005,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Power (physics); Law; State police; Legislation; State (computer science); Political science; Government (linguistics); Corporate governance; Sociology; Law enforcement; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009079906,0.0001344727,0.0002087401,0.00002174345,0.0007236225,0.0001382322,0.0006594224,0.00007196343,0.0001182716],"category_scores_gemma":[0.0001047329,0.00007838023,0.00008394103,0.0003942087,0.006334663,0.0003484573,0.0001538847,0.0002496497,0.00006416642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642715,"about_ca_system_score_gemma":0.0001237171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1612939,"about_ca_topic_score_gemma":0.2162632,"domain_scores_codex":[0.9981616,0.000271888,0.0002637338,0.0002515065,0.0005699955,0.0004812949],"domain_scores_gemma":[0.998933,0.0002556189,0.0001295826,0.0003940017,0.00006401209,0.0002237409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002274066,0.00003345817,0.002765484,0.000001275267,0.00001249667,7.192755e-7,0.02675448,0.000003856773,0.000090015,0.968606,0.00116387,0.0005455862],"study_design_scores_gemma":[0.0003722133,0.0000657888,0.003796669,0.0000184654,0.000009149466,9.387234e-7,0.007773397,0.000005356354,0.0001910617,0.006062289,0.981548,0.0001566612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894977,0.0002990132,0.00007066847,0.01908984,0.0005001326,0.0006517491,0.00003617158,0.00006252764,0.2897922],"genre_scores_gemma":[0.9938698,0.00008203082,0.0001516303,0.002725509,0.000312991,0.00001140718,3.712387e-7,0.00001427342,0.002831988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9803841,"threshold_uncertainty_score":0.9963695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008960533000644606,"score_gpt":0.2635246320497798,"score_spread":0.2545640990491352,"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."}}