{"id":"W4400980455","doi":"10.1504/ijmbs.2024.140102","title":"Bordering non-citizenship assemblage through migrant legibility: a conceptual framework for tracing hidden forms of legal and bureaucratic violence","year":2024,"lang":"en","type":"article","venue":"International Journal of Migration and Border Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; University of Manitoba","funders":"","keywords":"Legibility; Citizenship; Bureaucracy; Assemblage (archaeology); Conceptual framework; Tracing; Sociology; Political science; Psychology; Criminology; Social psychology; Law; Geography; Social science; Computer science; Art; Visual arts; Politics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007847641,0.0001376913,0.0002839684,0.0001389714,0.0002280886,0.0002217135,0.0001351366,0.0000887342,0.0000141067],"category_scores_gemma":[0.001042021,0.0001039701,0.0001148825,0.0001331682,0.0003351056,0.000766814,0.00002384658,0.0001670639,4.107466e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007448593,"about_ca_system_score_gemma":0.0001751299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003697865,"about_ca_topic_score_gemma":0.006917778,"domain_scores_codex":[0.9985394,0.00006829273,0.0005906927,0.00018034,0.0004797296,0.0001414793],"domain_scores_gemma":[0.9980761,0.000609562,0.0002758171,0.00005485227,0.0009348964,0.00004881159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002658014,0.0001088992,0.004884739,0.0002697393,0.001084724,0.00001728619,0.3221264,0.00003304345,0.002980912,0.6127746,0.001698862,0.05375495],"study_design_scores_gemma":[0.002240808,0.001611469,0.009077883,0.00755523,0.0005137677,0.0001043287,0.3313673,0.004810207,0.007344666,0.5510892,0.08343446,0.0008507009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150405,0.01313612,0.06565848,0.004710022,0.0009056512,0.0002498567,0.00002017732,0.00001884046,0.0002603392],"genre_scores_gemma":[0.9856433,0.008738144,0.004771427,0.0001565144,0.0005221365,0.00001465829,0.000005438223,0.000008912856,0.000139483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08173559,"threshold_uncertainty_score":0.4239776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255450859930687,"score_gpt":0.40155801863684,"score_spread":0.3590035100375331,"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."}}