{"id":"W2144238982","doi":"10.1177/1462474505048131","title":"Social disruption, state priorities, and minority threat","year":2004,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Imprisonment; Punishment (psychology); Politics; Criminology; Modernization theory; Population; Inequality; Political science; Sociology; Social psychology; Law; Psychology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008878532,0.0001189982,0.0001649323,0.0009144681,0.002262867,0.00164456,0.0002823384,0.0002948034,0.004057615],"category_scores_gemma":[0.005477854,0.00007263229,0.0001460283,0.0005619893,0.001591904,0.0009308942,0.002781286,0.0006109058,0.0001613891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334039,"about_ca_system_score_gemma":0.0008509475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062213,"about_ca_topic_score_gemma":0.02987237,"domain_scores_codex":[0.9991836,0.0003412314,0.00003217813,0.00004125619,0.0001097435,0.0002920943],"domain_scores_gemma":[0.9970677,0.0004930131,0.0009986763,0.00008814358,0.0001764413,0.001176073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000241545,0.0003652808,0.947307,0.00003257796,0.00004861589,0.0003047286,0.0159698,0.0003969266,0.0005188415,0.01184441,0.0005896753,0.0223806],"study_design_scores_gemma":[0.000008296015,0.0001018414,0.9651089,0.00003201184,0.00001369348,0.0001213826,0.0299294,0.0004338626,0.0001442594,0.002138114,0.001958835,0.000009299501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952354,0.00005546544,0.00004741519,0.0003685274,0.000006650919,0.000004091663,0.00001101824,8.51454e-7,0.004270558],"genre_scores_gemma":[0.9997784,0.0000223732,0.000007697186,0.00001677192,0.000003042602,0.000001577139,0.000006620061,3.551758e-7,0.0001630555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062213,"threshold_uncertainty_score":0.02112061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321272232184249,"score_gpt":0.3158835358286556,"score_spread":0.2926708135068131,"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."}}