{"id":"W7133007636","doi":"","title":"Malignant Europeanization: Schengen, Irregular Migration Governance, and Insecurity on Europe's Peripheries","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Directorate-General for Justice and Consumers; Directorate-General for Neighbourhood and Enlargement Negotiations; European Commission; Directorate-General for Migration and Home Affairs","keywords":"Authoritarianism; Democracy; Argument (complex analysis); Incentive; Norm (philosophy); Immigration; Refugee; Foreign policy; Security policy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009148085,0.0001555439,0.0001928686,0.001164731,0.001319708,0.003790573,0.0002566311,0.0004949183,0.002988897],"category_scores_gemma":[0.002389356,0.00008699905,0.0001515875,0.001545143,0.00816788,0.003663342,0.004838615,0.0009608297,0.0001174465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142728,"about_ca_system_score_gemma":0.0006282539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002401165,"about_ca_topic_score_gemma":0.004073342,"domain_scores_codex":[0.9994224,0.0002146951,0.00002597054,0.00009152132,0.00009878474,0.0001466683],"domain_scores_gemma":[0.9978516,0.0005513364,0.001067406,0.0001233701,0.0001067016,0.0002995903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001595792,0.0001618704,0.4027832,0.0001168641,0.00008033985,0.001313261,0.1630394,0.001626328,0.0005696288,0.3698377,0.003494901,0.05681694],"study_design_scores_gemma":[0.00002203777,0.0001264717,0.6874349,0.0005131759,0.00003988882,0.0006148844,0.1994103,0.001396402,0.0004478754,0.06486867,0.04508456,0.00004083035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970153,0.0007792576,0.0003081507,0.001908328,0.00001209241,0.000003366691,0.00001892468,0.00000299786,0.0268139],"genre_scores_gemma":[0.9990799,0.0003079188,0.00005019163,0.00006881778,0.000008442362,0.000001894555,0.00001040892,0.000001510654,0.000470806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003790573,"threshold_uncertainty_score":0.009998858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936345767536171,"score_gpt":0.3510384875523916,"score_spread":0.3216750298770299,"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."}}