{"id":"W4206731381","doi":"10.7591/cornell/9781501749254.003.0002","title":"Gender, Migration, and the Pursuit of Security","year":2020,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racialization; Immigration; Devaluation; Citizenship; Gender studies; State (computer science); Sociology; Border Security; Residence; Work (physics); Political science; Race (biology); Demographic economics; Politics; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002848089,0.0003047437,0.0001559653,0.0004833289,0.002576552,0.002901318,0.000282554,0.0006156177,0.009552129],"category_scores_gemma":[0.0003193113,0.00009064165,0.000120522,0.000666756,0.004286919,0.002019298,0.001128557,0.0009297658,0.001264606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640099,"about_ca_system_score_gemma":0.001537018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004461477,"about_ca_topic_score_gemma":0.01085133,"domain_scores_codex":[0.9998287,0.0000722285,0.000003348864,0.00001569441,0.00004066568,0.0000394261],"domain_scores_gemma":[0.9999411,0.00002277268,0.000006418591,0.00000382716,0.000007049025,0.00001887047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001704031,0.00002394563,0.0005891717,0.00008003118,0.000001618573,0.0001530803,0.01643184,0.00006913781,0.0002145681,0.8689327,0.05067189,0.06281503],"study_design_scores_gemma":[0.000003265298,0.00002191782,0.001074422,0.0003243051,0.00000191587,0.0001918684,0.01239573,0.00004040584,0.0001038377,0.07956471,0.9062731,0.000004557846],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01697545,0.07434709,0.0005359021,0.01404066,0.00176315,0.00001402222,0.00003174138,0.00002400361,0.8922679],"genre_scores_gemma":[0.3012927,0.07125704,0.0009410885,0.004150782,0.001021747,0.0000465597,0.00004404242,0.00003927291,0.6212068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009552129,"threshold_uncertainty_score":0.031955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424384671254402,"score_gpt":0.2155228516383671,"score_spread":0.171279004925823,"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."}}