{"id":"W4324031800","doi":"10.33182/bc.v13i1.2828","title":"Nations, Shadow Borders, and the Production of Gender in the Present","year":2023,"lang":"en","type":"article","venue":"BORDER CROSSING","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scholarship; Shadow (psychology); Intersectionality; Prison; Sociology; Irregular migration; Through-the-lens metering; Political science; Production (economics); Gender studies; Political economy; Lens (geology); Criminology; Law; Economics; Engineering; 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":[0.001621161,0.00004442287,0.0000594881,0.00007634173,0.001109926,0.0002645922,0.00009662523,0.00003557012,0.00001835913],"category_scores_gemma":[0.0008451997,0.00002554596,0.00002242729,0.0006620749,0.0005422585,0.0002255295,0.00001186743,0.00006893522,0.000002553953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001856558,"about_ca_system_score_gemma":0.0001507512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744035,"about_ca_topic_score_gemma":0.02507166,"domain_scores_codex":[0.9991097,0.0002502526,0.0001495979,0.0001100462,0.0002653321,0.0001150582],"domain_scores_gemma":[0.9995596,0.0001700813,0.00006274139,0.0001056572,0.00009162759,0.00001024693],"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":[0.00003052851,0.00004949175,0.009095536,0.00003178554,0.00001319406,4.020017e-7,0.7076927,0.0002205921,0.0002753624,0.2426924,0.01219542,0.0277026],"study_design_scores_gemma":[0.0007715884,0.00002042423,0.1544999,0.00007133802,0.00002689726,0.000002051066,0.1431566,0.003290138,0.0002971957,0.04127045,0.6564026,0.0001908342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584755,0.001652652,0.0002823097,0.02236287,0.0004026162,0.0007833455,0.00000276132,0.00005791373,0.01598006],"genre_scores_gemma":[0.9974782,0.0003605161,0.00005916592,0.00007579597,0.000176343,0.00002670792,0.000005925043,0.000003572409,0.001813733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6442071,"threshold_uncertainty_score":0.9927182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411654329160429,"score_gpt":0.3695392969933086,"score_spread":0.3354227537017043,"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."}}