{"id":"W3088602599","doi":"10.1177/1555412020961849","title":"Hypermodern Video Games as Emblems of Empire or How the Gaming Multitude Adapts to Hypermodernity","year":2020,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multitude; Empire; Sociology; Modernity; Video game; Context (archaeology); Aesthetics; Anachronism; Humanities; Art history; Art; Epistemology; Philosophy; History; Politics; Law; Computer science; Political science; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001442548,0.0001600843,0.0002541352,0.00001450996,0.0001769746,0.0001906665,0.0003046513,0.0001119864,0.00006948353],"category_scores_gemma":[0.0004154389,0.00009068505,0.00009261529,0.0002079256,0.0002090252,0.0002152037,0.00008935782,0.0001562248,0.00001647135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001474868,"about_ca_system_score_gemma":0.0001192043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280165,"about_ca_topic_score_gemma":0.002065437,"domain_scores_codex":[0.9988332,0.00006146857,0.0001431889,0.0002883049,0.0003685788,0.0003052376],"domain_scores_gemma":[0.9992943,0.00006347064,0.00007255051,0.0001468983,0.00009979843,0.0003229672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001253578,0.0000690777,0.001254361,0.00008378644,0.00007021038,0.00002682002,0.3830773,0.00002669714,0.002683166,0.002247056,0.01686556,0.5934706],"study_design_scores_gemma":[0.0002441666,0.0001461121,0.001183839,0.00006055743,0.00002910429,0.000004887554,0.04532205,0.00009885988,0.0002752526,0.0001586891,0.9523069,0.0001695341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559772,0.004065861,0.0002317107,0.04607378,0.0002817873,0.0008459937,0.00006817115,0.0001443001,0.09231117],"genre_scores_gemma":[0.9667553,0.0009138079,0.0002483634,0.003153668,0.0003427616,0.00001599317,0.000003812789,0.00001359592,0.02855269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9354414,"threshold_uncertainty_score":0.3698029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037726020458246,"score_gpt":0.2975056334721419,"score_spread":0.2471283732675595,"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."}}