{"id":"W368761333","doi":"","title":"Regulating Social Membership : Immigration, Welfare and the Canadian State","year":2001,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Welfare state; State (computer science); Social Welfare; Political science; Welfare; Sociology; Computer science; Law; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006389758,0.0001125763,0.0001197403,0.00005670967,0.007007121,0.0003532072,0.0001989407,0.00007133214,0.00006332523],"category_scores_gemma":[0.0006916948,0.0000977434,0.00004614603,0.0003498368,0.001570119,0.0006481474,0.00003762512,0.0001711146,0.000009032076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005842345,"about_ca_system_score_gemma":0.001905541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670722,"about_ca_topic_score_gemma":0.9938083,"domain_scores_codex":[0.9985315,0.000150805,0.0002176249,0.0002249459,0.0004979929,0.0003771514],"domain_scores_gemma":[0.9991669,0.00011598,0.0001110018,0.0001691624,0.0001717497,0.0002652277],"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":[0.00005109102,0.000004828916,0.002329845,0.000005778911,0.00001844047,0.00005459206,0.008076843,0.00001479733,0.000006945541,0.9765157,0.01209427,0.0008268355],"study_design_scores_gemma":[0.0003754397,0.000003790414,0.01346574,0.00002350609,0.00001445828,0.00004018105,0.0009991259,0.0000398607,0.00002483988,0.00297744,0.9818864,0.0001491377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3796395,0.001119417,0.000220852,0.3799605,0.003257454,0.001013565,0.003196159,0.0001628216,0.2314297],"genre_scores_gemma":[0.9931867,0.00006584349,0.00007987246,0.001269356,0.001526739,0.00002388709,0.00008366389,0.000006528988,0.00375748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9735383,"threshold_uncertainty_score":0.9942856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021977716279088,"score_gpt":0.2739066821168614,"score_spread":0.2536869049540705,"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."}}