{"id":"W4388507044","doi":"10.1108/978-1-83797-146-620231021","title":"Moving Between Inclusion and Exclusion","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Inclusion (mineral); Negotiation; Emerald; Immigration; Dialectic; State (computer science); Media studies; Sociology; Political science; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007436537,0.0008559313,0.0009412222,0.003003212,0.0114977,0.0226621,0.002069686,0.005702584,0.03930983],"category_scores_gemma":[0.01336284,0.0004131877,0.0007823645,0.004065028,0.02795541,0.02805536,0.02443158,0.006800662,0.01549251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006570061,"about_ca_system_score_gemma":0.01303517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008358612,"about_ca_topic_score_gemma":0.01138299,"domain_scores_codex":[0.9861043,0.005747692,0.000632579,0.001539997,0.004194593,0.001780765],"domain_scores_gemma":[0.9954136,0.001418631,0.0003881285,0.0005740253,0.00104598,0.001159587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002268163,0.00001890897,0.0004736172,0.0002334735,0.000008694189,0.0001321243,0.02013874,0.00003947915,0.000134091,0.6738592,0.2420674,0.06287166],"study_design_scores_gemma":[0.000003639751,0.00001196728,0.0003579336,0.0004025745,0.000003104263,0.000140668,0.008390638,0.00002758309,0.00007548506,0.07247287,0.9181046,0.00000900725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006210517,0.03423871,0.00649486,0.2229815,0.01727283,0.00008475147,0.0003115599,0.0002267049,0.7121786],"genre_scores_gemma":[0.3132796,0.04463959,0.009422394,0.1005554,0.01057683,0.000640036,0.001142027,0.0009235606,0.5188205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03930983,"threshold_uncertainty_score":0.1315045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03620931163774305,"score_gpt":0.3036593558803355,"score_spread":0.2674500442425925,"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."}}