{"id":"W2052667730","doi":"10.1016/j.ssresearch.2014.11.015","title":"Cultural capital in context: Heterogeneous returns to cultural capital across schooling environments","year":2014,"lang":"en","type":"article","venue":"Social Science Research","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultural capital; Social reproduction; Social mobility; Economics; Capital (architecture); Context (archaeology); Economic capital; Reproduction; Human capital; Social capital; Demographic economics; Cultural reproduction; Labour economics; Sociology; Economic growth; Geography; Social science","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":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.006941165,0.0002169197,0.0003221833,0.0001384029,0.005812224,0.001110361,0.001541402,0.0002451669,0.000120648],"category_scores_gemma":[0.002455835,0.0001794144,0.0001596964,0.002260257,0.004261751,0.001147509,0.0005330111,0.0007651155,0.0005219004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725205,"about_ca_system_score_gemma":0.0003228741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01261282,"about_ca_topic_score_gemma":0.03096142,"domain_scores_codex":[0.9924059,0.0008378741,0.0003968086,0.0007830035,0.003259345,0.002317063],"domain_scores_gemma":[0.9984487,0.0001604796,0.0000860149,0.000206281,0.0004245571,0.0006739974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006014157,0.0001553996,0.0166616,0.000009560987,0.00001517076,0.00002418105,0.8818988,0.00006113701,0.02096361,0.03995358,0.0006094518,0.03958743],"study_design_scores_gemma":[0.0008409558,0.0002492644,0.0678817,0.00005085887,0.000005653184,0.000005094382,0.8896055,0.0002100643,0.001105164,0.009406153,0.02975247,0.0008871154],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843171,0.00006330712,0.000008426423,0.00260585,0.0004732886,0.0005635892,0.00001940383,0.00004830118,0.01190075],"genre_scores_gemma":[0.9964054,0.00005076024,0.00004735661,0.000221685,0.001054425,0.00005580836,0.000007610693,0.00001442087,0.002142584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0512201,"threshold_uncertainty_score":0.9999266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584874047762944,"score_gpt":0.4415818472028409,"score_spread":0.3757331067252114,"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."}}