{"id":"W4300661141","doi":"10.3138/9781442625938-009","title":"Exclusion through Inclusion: Female Asian Migration in the Making of Canada as a White Settler Nation","year":2016,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); White (mutation); Inclusion–exclusion principle; Gender studies; Political science; Geography; Sociology; Law; Biology; Politics","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":[0.001482987,0.0004995605,0.0005478188,0.001215372,0.03919871,0.01242565,0.001601214,0.002061754,0.007218859],"category_scores_gemma":[0.002021061,0.000206028,0.0003121334,0.002597144,0.01853839,0.002657973,0.006553024,0.004831998,0.0004625478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0545154,"about_ca_system_score_gemma":0.1464213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971675,"about_ca_topic_score_gemma":0.9904023,"domain_scores_codex":[0.9976053,0.0004289425,0.00002856317,0.0001206369,0.0004366241,0.001379961],"domain_scores_gemma":[0.9989397,0.0001613741,0.00004884244,0.00002250942,0.0002316478,0.0005959598],"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":[0.00007162055,0.00004778999,0.00445878,0.00007658334,0.00001199379,0.0008811339,0.5673915,0.000162841,0.0002844055,0.2966367,0.06781559,0.06216109],"study_design_scores_gemma":[0.000009406114,0.00002159147,0.01044154,0.0004899213,0.00002075323,0.0002039805,0.5077078,0.0001345205,0.0002037673,0.0159248,0.4647953,0.00004665092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2126311,0.01542106,0.0006098701,0.06464417,0.001804341,0.00007252634,0.000154405,0.00003156257,0.7046309],"genre_scores_gemma":[0.7385503,0.008585641,0.0003715713,0.005785956,0.0003322083,0.00004989261,0.00008116424,0.00008753061,0.2461558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0545154,"threshold_uncertainty_score":0.3955388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823574342341811,"score_gpt":0.2443245437269031,"score_spread":0.216088800303485,"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."}}