{"id":"W2907100651","doi":"10.5509/2018914717","title":"Education as Early Stage Brokerage: Cooling Out Aspiring Migrants for the Global Hotel Industry","year":2018,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Stage (stratigraphy); Hotel industry; Economic growth; Economics; Political science","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":[0.002040202,0.0002450254,0.0002324662,0.0004177651,0.007010965,0.006164205,0.0009074913,0.002515917,0.02810409],"category_scores_gemma":[0.005317661,0.0002264925,0.0003107029,0.0004990715,0.002209317,0.00487697,0.005858906,0.003589749,0.001732072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618693,"about_ca_system_score_gemma":0.01164647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303845,"about_ca_topic_score_gemma":0.03742487,"domain_scores_codex":[0.9983963,0.0005078273,0.00001552907,0.00005128903,0.00006761713,0.0009615066],"domain_scores_gemma":[0.9951184,0.0004105317,0.0003101758,0.000137105,0.0002327853,0.00379101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001763776,0.005184823,0.2134216,0.0003791719,0.0000463522,0.002879363,0.2803439,0.0002759526,0.003077649,0.07482594,0.1410408,0.2767608],"study_design_scores_gemma":[0.0002200821,0.0007990478,0.08869112,0.0005105378,0.00004677558,0.0002712779,0.7840919,0.0004128836,0.0006673022,0.009060319,0.115176,0.00005278485],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842732,0.0007372326,0.0003878535,0.07609629,0.0009053936,0.000122292,0.0000593375,0.00003055957,0.03738783],"genre_scores_gemma":[0.9702863,0.0006261625,0.0003133143,0.007998649,0.0002094985,0.00006605288,0.00003331557,0.0000224831,0.0204443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02810409,"threshold_uncertainty_score":0.09401757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268783442119495,"score_gpt":0.3277734933877087,"score_spread":0.2950856589665137,"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."}}