{"id":"W2897885130","doi":"10.1177/0197918318804769","title":"Serial Labor Migration: Precarity and Itinerancy among Filipino and Indonesian Domestic Workers","year":2018,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Precarity; Emigration; Indonesian; Migrant workers; Settlement (finance); Labor mobility; Demographic economics; Wage; Labour economics; Political science; Sociology; Economics; Economic growth; Gender studies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006558311,0.0001764902,0.0001906738,0.001060638,0.0007435211,0.001020851,0.0003723039,0.0003340081,0.001485721],"category_scores_gemma":[0.001376978,0.00008738317,0.0001858809,0.001506392,0.0008687687,0.0008730491,0.0009333534,0.0003520935,0.0001581086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672922,"about_ca_system_score_gemma":0.0009829041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056451,"about_ca_topic_score_gemma":0.01538886,"domain_scores_codex":[0.9997613,0.00009656484,0.00002524814,0.0000307861,0.00003017499,0.0000559045],"domain_scores_gemma":[0.9995479,0.0001258258,0.000204076,0.00002319062,0.00005969289,0.00003926443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002120644,0.0001599294,0.548376,0.001889659,0.00008318925,0.002663363,0.05238074,0.001202786,0.001065531,0.02183712,0.002404647,0.3677251],"study_design_scores_gemma":[0.00001001824,0.0001851946,0.8539432,0.002326474,0.0001013638,0.002465431,0.09386519,0.001091664,0.000563102,0.006676609,0.03874363,0.00002808627],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376765,0.04474786,0.0005831248,0.001877124,0.00004754564,0.00002330364,0.0001022186,0.000007496086,0.01493493],"genre_scores_gemma":[0.9729058,0.0250023,0.0003193054,0.00008121259,0.00003449695,0.00001610327,0.00007159909,0.000001907332,0.001567295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056451,"threshold_uncertainty_score":0.02100605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285505454280531,"score_gpt":0.3209362239781798,"score_spread":0.3080811694353745,"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."}}