{"id":"W4378188086","doi":"10.29173/spectrum186","title":"(Re) Constructing ‘Subservient’ Filipino Migrant Subjectivities","year":2023,"lang":"en","type":"article","venue":"Spectrum","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"State (computer science); Agency (philosophy); Subjectivity; Institutionalisation; Sociology; Political science; Gender studies; Neoliberalism (international relations); Political economy; Economic growth; Law; Social science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006341352,0.00009623091,0.0001452228,0.0001101545,0.0006332879,0.00009048299,0.0001900298,0.00007031773,0.001313606],"category_scores_gemma":[0.0001179398,0.0001014346,0.00008317726,0.0004912459,0.0002535902,0.0002420432,0.00003869922,0.0001054233,0.0006093477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007985598,"about_ca_system_score_gemma":0.000137664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009181875,"about_ca_topic_score_gemma":0.2045372,"domain_scores_codex":[0.9988266,0.0001110648,0.0001766769,0.0002282263,0.0002016439,0.0004557688],"domain_scores_gemma":[0.9995016,0.0001508052,0.00006968289,0.0001630571,0.00002483313,0.00009001404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001770539,0.00005909704,0.4125682,0.00006393498,0.00007898871,0.00002331635,0.4021657,0.00005066942,0.0005032793,0.1425784,0.0363482,0.00554257],"study_design_scores_gemma":[0.0006566221,0.00006400901,0.1518666,0.00006666103,0.0000272791,0.000003998529,0.4743114,0.0003384124,0.004282626,0.09409565,0.2734542,0.0008326524],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214067,0.00009298961,0.00003514694,0.003889133,0.000940195,0.0001630795,0.000008316637,0.0003413771,0.0731231],"genre_scores_gemma":[0.99299,0.0002203902,0.00007343503,0.000138722,0.0006711425,0.00001414365,0.00000916217,0.00001099299,0.00587201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2607017,"threshold_uncertainty_score":0.9995993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03339670027684023,"score_gpt":0.2854320771666057,"score_spread":0.2520353768897655,"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."}}