{"id":"W2761682122","doi":"10.1177/0309816817734490","title":"Reading the (identity politics) market: Articulating the forest past the trees post-Trump","year":2017,"lang":"en","type":"article","venue":"Capital & Class","topic":"Psychology of Social Influence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Politics; Economics; Presidency; Political economy; Financialization; Market economy; Stock market; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001877414,0.0001358902,0.0001337505,0.00001731608,0.00867816,0.0009429774,0.001745286,0.000122124,0.0001047655],"category_scores_gemma":[0.001974278,0.0000730786,0.0001464149,0.0000944785,0.003972227,0.0007128965,0.0002519556,0.0003685647,0.0001596826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105501,"about_ca_system_score_gemma":0.00008918453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007654106,"about_ca_topic_score_gemma":0.01950016,"domain_scores_codex":[0.9981394,0.0003725345,0.0002132768,0.0002371154,0.0004477479,0.0005899733],"domain_scores_gemma":[0.997925,0.0007557578,0.000273371,0.0008021902,0.000147482,0.00009615986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001400499,0.00004227306,0.2499335,0.000005560202,0.00008783825,0.0000169736,0.06900677,0.000009647065,0.0004489874,0.6648728,0.0131585,0.00240323],"study_design_scores_gemma":[0.0001026016,0.00001649793,0.917354,0.00002123634,0.00002820005,0.000003837029,0.02887914,0.00003791458,0.00001395613,0.03691365,0.01650728,0.0001216321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277194,0.00009973197,0.00001074778,0.08040393,0.0008596275,0.0002906671,0.000008832028,0.00004516103,0.09056186],"genre_scores_gemma":[0.9926758,0.00002734737,0.00001332288,0.002619549,0.001257169,0.00002853777,8.1293e-7,0.00001341612,0.003364023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6674206,"threshold_uncertainty_score":0.998954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715165705379782,"score_gpt":0.3430301390830739,"score_spread":0.315878482029276,"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."}}