{"id":"W1521426662","doi":"10.22230/cjc.2005v30n2a1575","title":"The Political Economy of Canada’s Video and Computer Game Industry","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Digital Games and Media","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Western University","funders":"","keywords":"Video game; Politics; Revenue; State (computer science); Capital (architecture); Computer game; Distribution (mathematics); Film industry; Economy; Economics; Business; Political science; Multimedia; Computer science; Art; Finance; Law; Art history; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032492,0.0001528381,0.0002000707,0.002922578,0.01327776,0.00888941,0.0007359297,0.001228262,0.006624593],"category_scores_gemma":[0.004825504,0.0003082261,0.0002368307,0.003539615,0.005498831,0.001203327,0.001807016,0.001929518,0.0002937918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1242642,"about_ca_system_score_gemma":0.1128026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904756,"about_ca_topic_score_gemma":0.9948254,"domain_scores_codex":[0.9969218,0.0002377376,0.00002968758,0.0001498002,0.001204696,0.001456147],"domain_scores_gemma":[0.9970323,0.0006195985,0.0003102742,0.00004847529,0.001122848,0.0008664278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000119022,0.00006410512,0.03031633,0.000138128,0.00003050948,0.0007002779,0.01608231,0.001949295,0.001193939,0.8711774,0.03548247,0.04274625],"study_design_scores_gemma":[0.00006883791,0.00006925202,0.2734886,0.0003847736,0.00007847625,0.0002278889,0.05561868,0.006414099,0.001462764,0.04314186,0.6188773,0.0001674547],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4608844,0.004914068,0.001372684,0.07749603,0.0001421607,0.0001031571,0.001077207,0.00003863196,0.4539717],"genre_scores_gemma":[0.9789345,0.00209222,0.0002462531,0.001701941,0.00003369126,0.00001808103,0.0001307974,0.00001301826,0.01682945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242642,"threshold_uncertainty_score":0.901604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566664118086948,"score_gpt":0.254127960524666,"score_spread":0.2384613193437965,"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."}}