{"id":"W2112112881","doi":"10.3916/c40-2013-02-05","title":"Learning about Power and Citizenship in an Online Virtual World","year":2013,"lang":"en","type":"article","venue":"Comunicar","topic":"Digital Games and Media","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; American Educational Research Association","keywords":"Citizenship; Power (physics); Work (physics); Democracy; Order (exchange); Virtual space; Virtual world; Sociology; Space (punctuation); Public relations; Political science; Engineering; Computer science; Business; Artificial intelligence; Law; Politics; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028758,0.00005482445,0.00009980846,0.00005315546,0.0000566767,0.0001316186,0.0001754148,0.00003973766,0.0001950765],"category_scores_gemma":[0.0001980407,0.00005208581,0.0000186454,0.0001576413,0.0002201185,0.0001981452,0.0000709006,0.0001673686,0.00003996656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002059672,"about_ca_system_score_gemma":0.00003195973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002854972,"about_ca_topic_score_gemma":0.005075552,"domain_scores_codex":[0.9993441,0.0001045087,0.0001004117,0.000118975,0.0001258657,0.0002061351],"domain_scores_gemma":[0.9995452,0.0001188574,0.00002565632,0.0001210529,0.00003306632,0.0001561384],"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":[0.00001162953,0.0001329119,0.1521073,0.000004231815,0.00001059899,0.0000123493,0.03547601,0.00001195176,0.0001502606,0.07709072,0.00148866,0.7335034],"study_design_scores_gemma":[0.000408169,0.0001565453,0.3216935,0.00006123242,0.00000393879,4.801877e-7,0.02460254,0.0001151019,0.000004412666,0.001838294,0.6509025,0.0002133283],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7491955,0.0001776427,4.763815e-7,0.000555778,0.00006390833,0.00007337167,0.000001063907,0.00002920842,0.2499031],"genre_scores_gemma":[0.9688487,0.0001104173,0.0001274239,0.0003155241,0.00006086242,0.000004287861,0.000005554469,0.000006847796,0.0305204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7332901,"threshold_uncertainty_score":0.2832277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785020311288664,"score_gpt":0.3047540659738304,"score_spread":0.2669038628609438,"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."}}