{"id":"W773574714","doi":"10.25071/1913-9632.5411","title":"Making Citizens, Banishing Immigrants: The Discipline of Deportation Investigations, 1908-1913","year":2000,"lang":"en","type":"article","venue":"Left History An Interdisciplinary Journal of Historical Inquiry and Debate","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government","keywords":"Deportation; Immigration; Variety (cybernetics); Marxist philosophy; Race (biology); Ethnic group; Sociology; Human sexuality; State (computer science); Gender studies; Political science; Criminology; Law; Anthropology","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":[0.001529732,0.0002129634,0.0004835011,0.0001447589,0.001720287,0.00004014875,0.0005104012,0.0001450197,0.0005752651],"category_scores_gemma":[0.0001794645,0.000171174,0.0002865886,0.0002113182,0.001706931,0.001014602,0.00007469381,0.0005362688,0.000006437389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895443,"about_ca_system_score_gemma":0.0003008889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000330257,"about_ca_topic_score_gemma":0.0004157615,"domain_scores_codex":[0.9971822,0.0005832034,0.001037833,0.0002795976,0.0006079808,0.0003091784],"domain_scores_gemma":[0.9979613,0.0003026408,0.0009733313,0.0002661404,0.0002220666,0.0002745395],"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":[0.0005516367,0.0004947156,0.005694007,0.00009451541,0.0001502647,0.0001738646,0.814001,0.0003263497,0.001994157,0.002803665,0.1404152,0.03330064],"study_design_scores_gemma":[0.0008099835,0.001114572,0.008176118,0.0005011421,0.0003400742,0.0003574906,0.08844116,0.000277455,0.0000514258,0.007410683,0.8917808,0.0007391237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706808,0.0100604,0.002015914,0.003090936,0.003557284,0.0002114978,0.000009537093,0.00006070294,0.01031299],"genre_scores_gemma":[0.9929683,0.0005661363,0.001554148,0.0004488926,0.001117172,0.000003300818,0.000006635458,0.00002790069,0.003307483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7513655,"threshold_uncertainty_score":0.9995793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06085670410408413,"score_gpt":0.3492649489006342,"score_spread":0.2884082447965501,"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."}}