{"id":"W7164917256","doi":"10.1080/17153379.2006.12554512","title":"Global Cinderellas: Migrant Domestics and Newly Rich Employers in Taiwan.","year":2006,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Work (physics); Migrant workers","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002532677,0.0001961407,0.0001126816,0.0008920668,0.001564684,0.0009817315,0.0003711887,0.0006833152,0.01117952],"category_scores_gemma":[0.0006537112,0.0001253779,0.0001078759,0.0014466,0.0006109195,0.001477833,0.002017617,0.0007724896,0.000369482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794389,"about_ca_system_score_gemma":0.001579633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1037783,"about_ca_topic_score_gemma":0.2560087,"domain_scores_codex":[0.9998481,0.00003944067,0.000005516103,0.00001161406,0.000007835702,0.00008742054],"domain_scores_gemma":[0.9996613,0.00003382447,0.00007876223,0.000009423114,0.00002280734,0.0001939406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001580803,0.0001407959,0.8232097,0.0001850701,0.00002444432,0.003867351,0.112993,0.00007310112,0.00039801,0.005075796,0.0180687,0.03580597],"study_design_scores_gemma":[0.00001217562,0.00007800378,0.5647621,0.0002325223,0.00001879717,0.0006651011,0.4187932,0.00009299194,0.00009778567,0.000438753,0.01479561,0.00001308546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873993,0.001781219,0.00003019962,0.004457081,0.00006596952,0.00001184359,0.0003757651,0.000006209991,0.005872453],"genre_scores_gemma":[0.9892073,0.001784715,0.00002853805,0.0005762089,0.00005447864,0.00001991533,0.000238244,0.000003625073,0.008087067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037783,"threshold_uncertainty_score":0.2063485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203076566503991,"score_gpt":0.255827751315529,"score_spread":0.2437969856504891,"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."}}