{"id":"W2796406876","doi":"10.1111/imig.12439","title":"Between Enforcement and Precarity: Externalization and Migrant Deaths at Sea","year":2018,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Enforcement; Precarity; Externalization; Interdiction; Scholarship; Political science; Sociology; Geography; Law; Social psychology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004421457,0.0001216833,0.0001078974,0.0001355,0.000533755,0.0002121167,0.0001153636,0.0001096378,0.0004719416],"category_scores_gemma":[0.000190503,0.0001166938,0.00003238308,0.0001107674,0.0002149207,0.0006283121,0.00004440646,0.0000597465,0.00003421886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095578,"about_ca_system_score_gemma":0.0000528142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005297551,"about_ca_topic_score_gemma":0.07224694,"domain_scores_codex":[0.9986944,0.0001095496,0.0002835311,0.0002753868,0.000477487,0.0001596006],"domain_scores_gemma":[0.9992215,0.00007303505,0.0001432059,0.00009319177,0.0003688601,0.0001001781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001056391,0.00006467116,0.7134164,0.0000194831,0.0001165563,0.000001316944,0.08091949,0.000007839187,0.00385351,0.1308108,0.009326166,0.06135812],"study_design_scores_gemma":[0.0005635416,0.0001959058,0.1898089,0.00007520855,0.00005224826,0.000005374916,0.000905615,0.005349137,0.004413769,0.007502065,0.7908241,0.0003041559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740966,0.000177173,0.011276,0.001838647,0.0004733702,0.0003254679,0.00003996209,0.00006862766,0.01170414],"genre_scores_gemma":[0.9920912,0.0003684865,0.0005073097,0.0002117221,0.001180368,0.00002464008,0.0001836303,0.000009635453,0.005422956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781498,"threshold_uncertainty_score":0.9446821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049112841599736,"score_gpt":0.3181044093040726,"score_spread":0.2976132808880753,"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."}}