{"id":"W3026004351","doi":"10.1177/0002764220910253","title":"Thinking Policy Through Migrant Domestic Workers’ Itineraries","year":2020,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Indonesian; Context (archaeology); Migrant workers; Social policy; Political science; Face (sociological concept); Welfare; Sociology; Economic growth; Geography; Economics; Social science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002503547,0.0001409458,0.0002062424,0.00005933114,0.001070659,0.0004915602,0.0005135033,0.00003965533,0.0002862034],"category_scores_gemma":[0.0001445623,0.0001338742,0.00009361978,0.002323515,0.001855793,0.0003474241,0.00008511999,0.0001578179,0.0001123975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210893,"about_ca_system_score_gemma":0.0003987801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05752361,"about_ca_topic_score_gemma":0.02821598,"domain_scores_codex":[0.9980744,0.0001452752,0.0002177812,0.0003535385,0.0007199401,0.0004890425],"domain_scores_gemma":[0.9992271,0.00004205661,0.0001595577,0.0001605987,0.00009643193,0.000314251],"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":[0.00004387778,0.0002934039,0.2053648,0.00001346943,0.00001954052,0.0001225529,0.5084581,0.0001183346,0.0009891625,0.2144556,0.02750685,0.04261441],"study_design_scores_gemma":[0.000392537,0.000219154,0.02556031,0.00003270347,0.00006309733,0.000004538493,0.05887663,0.000294314,0.00002295462,0.00132632,0.9126051,0.0006023386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553635,0.00005537098,0.001885143,0.03295511,0.0003664021,0.0002497517,0.00004761649,0.0003095152,0.008767604],"genre_scores_gemma":[0.989684,0.00003088278,0.003647142,0.004275358,0.0003789298,0.00001074325,0.00002816312,0.00001450767,0.001930303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850983,"threshold_uncertainty_score":0.9895166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372095078673881,"score_gpt":0.3684032564899649,"score_spread":0.3311937486225768,"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."}}