{"id":"W6891694036","doi":"10.48335/9789188855732-1","title":"Being played in everyday life: Massive data collection on mobile games as part of ludocapitalist surveillance dispositif","year":2023,"lang":"en","type":"book-chapter","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geolocation; Data collection; Mobile device; Everyday life; Identifier; Identification (biology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009135798,0.0003657224,0.0006923476,0.001246634,0.0001480751,0.00009823106,0.001728431,0.0006691132,0.0001833947],"category_scores_gemma":[0.00366861,0.0003896275,0.0001049439,0.0008895235,0.001336515,0.0008676457,0.0008681212,0.00054923,0.000102867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229375,"about_ca_system_score_gemma":0.001030886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009334558,"about_ca_topic_score_gemma":0.004210544,"domain_scores_codex":[0.9968369,0.00004544915,0.00092095,0.0009534942,0.0008012434,0.0004419685],"domain_scores_gemma":[0.996386,0.0001697094,0.0009437788,0.001804106,0.0005141397,0.0001822997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001249982,0.000308692,0.001376887,0.0002177882,0.0002055932,0.00003686756,0.0004011733,0.00009201067,0.00004062281,0.85,0.08645859,0.06073676],"study_design_scores_gemma":[0.0004270645,0.0001407679,0.0003744955,0.0006167548,0.00004070565,9.830981e-7,0.0003482641,0.0001217148,0.0001436319,0.001365918,0.9960335,0.0003861611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008730956,0.0005520672,0.00009683851,0.00586934,0.002586685,0.002474301,0.01089532,0.0007403482,0.9680542],"genre_scores_gemma":[0.1700993,0.005076752,0.0009967277,0.0003322069,0.0005181084,0.0005646142,0.0379628,0.000163523,0.784286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9095749,"threshold_uncertainty_score":0.9998556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352087893797153,"score_gpt":0.2973122420034247,"score_spread":0.2637913630654532,"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."}}