{"id":"W4253502398","doi":"10.1086/660183","title":"<i>Intimate Encounters: Filipina Women and the Remaking of Rural Japan</i>. By Lieba Faier. Berkeley: University of California Press, 2009.<i>Marketing Dreams, Manufacturing Heroes: The Transnational Labor Brokering of Filipino Workers</i>. By Anna Romina Guevarra. New Brunswick, NJ: Rutgers University Press, 2010.<i>Migrants for Export: How the Philippine State Brokers Labor to the World</i>. By Robyn Magalit Rodriguez. Minneapolis: University of Minnesota Press, 2010.<i>Things Fall Away: Philippine Historical Experience and the Makings of Globalization</i>. By Neferti X. M. Tadiar. Durham, NC: Duke University Press, 2009.","year":2011,"lang":"en","type":"article","venue":"Signs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Globalization; Download; Sociology; Media studies; Political science; Gender studies; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002136054,0.0004500739,0.0007970289,0.00007920394,0.001189905,0.00006653405,0.001693758,0.0001975836,0.00009927102],"category_scores_gemma":[0.000227189,0.0003367079,0.0002371895,0.0005478088,0.002869132,0.001098276,0.0003380905,0.0003164849,1.958051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236299,"about_ca_system_score_gemma":0.0003647655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125,"about_ca_topic_score_gemma":0.009155616,"domain_scores_codex":[0.9963881,0.0009678593,0.0006412732,0.0006011008,0.0007033051,0.0006983047],"domain_scores_gemma":[0.9963232,0.0008421573,0.001428807,0.000646789,0.0005213324,0.0002377585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008004682,0.0003701414,0.007724831,0.0005482173,0.0008501255,0.000003045688,0.3037947,0.0004684323,0.005087323,0.001642528,0.6707941,0.0007118236],"study_design_scores_gemma":[0.006583686,0.0001929931,0.004327975,0.0003725362,0.0006262081,0.000003666379,0.09187573,0.00115794,0.007600601,0.00007825615,0.886374,0.0008063939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250876,0.01441914,0.008412964,0.02626194,0.0006787195,0.006666333,0.01557766,0.0001413182,0.002754335],"genre_scores_gemma":[0.9643901,0.01063516,0.000462471,0.0002031771,0.00008166319,0.000006565596,0.0001409908,0.00005113169,0.02402876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2155799,"threshold_uncertainty_score":0.9999085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130602693139538,"score_gpt":0.1985924535101808,"score_spread":0.1872864265787854,"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."}}