{"id":"W4239893531","doi":"10.1007/978-3-030-03913-4_1","title":"Introduction","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Inclusion (mineral); Multiculturalism; Diversity (politics); Sociology; Politics; Citizenship; Gender studies; Economic Justice; Environmental ethics; Cultural diversity; Inclusion–exclusion principle; Epistemology; Political science; Social science; Engineering ethics; Anthropology; Law; Pedagogy; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005234585,0.0008298292,0.0004879334,0.001747292,0.001413442,0.003543328,0.001370568,0.001596578,0.5568579],"category_scores_gemma":[0.001809193,0.0002868699,0.0004629768,0.001607125,0.000640385,0.002750195,0.001975004,0.001728169,0.418876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431928,"about_ca_system_score_gemma":0.001839436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334901,"about_ca_topic_score_gemma":0.00610073,"domain_scores_codex":[0.9995598,0.00006012038,0.00001685384,0.00008917823,0.0002238118,0.00005024338],"domain_scores_gemma":[0.9994666,0.00009718307,0.0000177337,0.00007080442,0.0002601212,0.00008763547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001300963,0.00003036593,0.00006168029,0.0001248081,0.000001317854,0.00003422714,0.0001247599,0.000110908,0.0002232757,0.04256354,0.8216932,0.1350187],"study_design_scores_gemma":[9.155887e-7,0.000003014959,0.00004653055,0.00004965732,4.684569e-7,0.00001884104,0.00002988555,0.00001595289,0.00003688456,0.003503518,0.9962928,0.00000144152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002309184,0.002230266,0.002688486,0.002057026,0.003724234,0.00009578457,0.001181146,0.0003793093,0.9874128],"genre_scores_gemma":[0.0006348093,0.001093433,0.0007080752,0.0006260818,0.0004726256,0.00004108622,0.0006554677,0.0001186412,0.9956499],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4431421,"threshold_uncertainty_score":0.6320883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293885136996424,"score_gpt":0.2600346496233528,"score_spread":0.2470957982533885,"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."}}