{"id":"W7019291034","doi":"","title":"Explaining the Deprofessionalized Filipino: Why Filipino Immigrants Get Low-Paying Jobs in Toronto","year":2009,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Subordination (linguistics); Market integration; Immigration policy; Social policy","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":[0.0006692372,0.0002910907,0.0002130474,0.0008726681,0.01220943,0.003393631,0.001062572,0.00122205,0.006057404],"category_scores_gemma":[0.002117156,0.0002265737,0.0002079493,0.00162302,0.003000137,0.001298706,0.002969341,0.001572662,0.0003527677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02093604,"about_ca_system_score_gemma":0.0172372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9079374,"about_ca_topic_score_gemma":0.964087,"domain_scores_codex":[0.9993426,0.00009671689,0.00002357132,0.00003912757,0.00008623863,0.0004117363],"domain_scores_gemma":[0.9990804,0.00019133,0.0001620792,0.00002534569,0.000166017,0.0003748245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005916287,0.00009286579,0.2327423,0.0001616016,0.00001810801,0.003362704,0.7236763,0.0001826658,0.0008787598,0.00707475,0.0117317,0.02001899],"study_design_scores_gemma":[0.000003143893,0.00001491242,0.09247271,0.0001112027,0.00001100204,0.0001673968,0.898074,0.0001587895,0.0001072823,0.0003523357,0.008512541,0.00001470294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846763,0.0005140712,0.00005659148,0.006810175,0.00002286437,0.00001748337,0.00008704284,0.000004690299,0.00781075],"genre_scores_gemma":[0.9956582,0.0007576817,0.00005597452,0.0004324586,0.000008532853,0.000008013558,0.0000519803,0.000003421006,0.003023737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09206259,"threshold_uncertainty_score":0.1852095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105405282716789,"score_gpt":0.2179080716435946,"score_spread":0.1968540188164267,"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."}}