{"id":"W4223983778","doi":"10.3138/cjfs-2020-0011","title":"Korean Financial Thrillers: Neo-liberal Governmentality in <i>Default</i> and <i>Black Money</i>","year":2022,"lang":"fr","type":"article","venue":"Canadian Journal of Film Studies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Post colonialism; Art; Colonialism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009776971,0.000278242,0.001026788,0.0003596251,0.0005367103,0.00005520036,0.0002506897,0.00007906564,0.0003483235],"category_scores_gemma":[0.0006283534,0.0003467926,0.0002058727,0.0004132866,0.0006325066,0.0002655775,0.0001770247,0.0006582692,0.00001537504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425196,"about_ca_system_score_gemma":0.000438378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01102393,"about_ca_topic_score_gemma":0.09891076,"domain_scores_codex":[0.9977151,0.00007491905,0.001089959,0.0003263215,0.0001180379,0.0006757047],"domain_scores_gemma":[0.9985325,0.0001537748,0.0006705957,0.000172749,0.00007803876,0.0003923959],"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":[0.00007886418,0.0001142854,0.4194361,0.0001998983,0.0005075195,0.001044149,0.0353086,0.0007967746,0.000002584196,0.008385258,0.5262742,0.007851799],"study_design_scores_gemma":[0.002271932,0.0005637216,0.1264818,0.0001871169,0.00007090796,0.0001920554,0.03283393,0.0001091429,0.000008695913,0.006648326,0.8301343,0.0004980253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5774329,0.38301,0.000003995168,0.02671994,0.006041865,0.0001951053,0.001376485,0.000002654639,0.005217121],"genre_scores_gemma":[0.9519271,0.03639033,0.0001700662,0.002413335,0.0006055834,0.00001890625,0.000006362602,0.00003395248,0.008434327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744943,"threshold_uncertainty_score":0.9998984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296779223867175,"score_gpt":0.2241438139326391,"score_spread":0.1944658915459216,"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."}}