{"id":"W4393071840","doi":"10.1080/08865655.2024.2330055","title":"Differentiation, Affected Temporalities and the Politics of Inclusion and Exclusion of the Border Regime","year":2024,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Academy of Finland","keywords":"Temporalities; Inclusion–exclusion principle; Politics; Inclusion (mineral); Political science; Sociology; Economic system; Gender studies; Political economy; Economic geography; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005769659,0.0001715524,0.0002919969,0.001032787,0.009280666,0.006853345,0.0006209023,0.0009995493,0.002689756],"category_scores_gemma":[0.007966471,0.0001859662,0.0002166766,0.001126764,0.03356235,0.005844195,0.007391576,0.002097283,0.0001219241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003890489,"about_ca_system_score_gemma":0.002713206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0056277,"about_ca_topic_score_gemma":0.00616767,"domain_scores_codex":[0.9960973,0.00244808,0.0001417556,0.000395151,0.0003405503,0.000577232],"domain_scores_gemma":[0.9966677,0.001627367,0.0006152479,0.0003713633,0.0002411267,0.0004773424],"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":[0.00007590884,0.00002039735,0.006704784,0.00004509076,0.000009094552,0.0005079308,0.3010799,0.0001639575,0.0005817636,0.6833671,0.000341638,0.007102599],"study_design_scores_gemma":[0.00002813486,0.00007011945,0.01691875,0.0003896735,0.00002980844,0.0007036983,0.6798377,0.0005545136,0.000829334,0.2166484,0.08394525,0.00004465377],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.846132,0.001100611,0.007200614,0.005534957,0.00009923994,0.00002679053,0.00002685013,0.00001555562,0.1398633],"genre_scores_gemma":[0.9986066,0.00007755609,0.0002785504,0.00006833194,0.00000619604,0.000006552447,0.00000416369,0.000004712853,0.0009473032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009280666,"threshold_uncertainty_score":0.03051323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582803624934311,"score_gpt":0.3254024226282329,"score_spread":0.3095743863788898,"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."}}