{"id":"W2537240592","doi":"10.1093/migration/mnw023","title":"‘Doing’ capital: examining the relationship between immigrants’ occupational engagement and symbolic capital","year":2016,"lang":"en","type":"article","venue":"Migration Studies","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Symbolic capital; Sociology; Diversification (marketing strategy); Symbolic power; Social reproduction; Immigration; Capital (architecture); Social mobility; Social capital; Narrative; Economic capital; Cultural capital; Individual capital; Gender studies; Human capital; Economics; Economic growth; Political science; Social science; Law; Politics; Business; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001699017,0.0002500613,0.0002784464,0.001359986,0.002282301,0.00380573,0.0006895429,0.0006939999,0.006045244],"category_scores_gemma":[0.01221396,0.0001731044,0.0002679553,0.002127045,0.002678823,0.002625842,0.004256165,0.001384842,0.0003214491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911274,"about_ca_system_score_gemma":0.002658856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03175896,"about_ca_topic_score_gemma":0.06152604,"domain_scores_codex":[0.9991469,0.0003229647,0.00004300515,0.00006356732,0.0001796844,0.0002437505],"domain_scores_gemma":[0.9906873,0.00331193,0.003009879,0.0003421339,0.0006556706,0.001993106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002081366,0.000568703,0.7896016,0.0002236444,0.0001528761,0.0002670543,0.1426259,0.0002540082,0.0002337855,0.01209689,0.005768353,0.04799908],"study_design_scores_gemma":[0.00001161163,0.0001470198,0.8460702,0.0003261413,0.00005076713,0.00009023812,0.1450463,0.00024459,0.0000973788,0.003043088,0.004846324,0.00002640295],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876111,0.0003638958,0.0001066866,0.001769256,0.00003520122,0.00001219264,0.00008011825,0.000001757031,0.01001969],"genre_scores_gemma":[0.9981305,0.0003556244,0.0001174424,0.0001245465,0.00002052501,0.0000252324,0.00008107827,0.000002193939,0.001143024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03175896,"threshold_uncertainty_score":0.0631482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3014830042537407,"score_gpt":0.4461524641988335,"score_spread":0.1446694599450928,"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."}}