{"id":"W2251048232","doi":"10.1080/17439884.2016.1132729","title":"Producing alternative gender orders: a critical look at girls and gaming","year":2016,"lang":"en","type":"article","venue":"Learning Media and Technology","topic":"Digital Games and Media","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; York University","keywords":"Autonomy; Hegemony; Identity (music); Set (abstract data type); Power (physics); Gender studies; Sociology; Relation (database); Gender relations; Social psychology; Psychology; Political science; Politics; Aesthetics","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":[0.0002665771,0.00008276373,0.0001358972,0.0001243481,0.0001585034,0.00003252899,0.00008588011,0.0001436595,0.00006320209],"category_scores_gemma":[0.005335005,0.00006004793,0.00001594165,0.0001459349,0.001166335,0.0001405139,0.0001340228,0.0001566413,0.00002209734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003498582,"about_ca_system_score_gemma":0.00003945062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003533046,"about_ca_topic_score_gemma":0.0001778683,"domain_scores_codex":[0.9990771,0.00005026175,0.00009712154,0.0002945336,0.0001436205,0.0003374009],"domain_scores_gemma":[0.9992396,0.0004753211,0.0000363082,0.00007970477,0.00005934795,0.0001097303],"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":[0.000009704569,0.00001859066,0.07665182,0.00001998873,0.00002307576,0.0000430167,0.02149733,1.288964e-7,0.00172934,0.07943244,0.0001239646,0.8204506],"study_design_scores_gemma":[0.001621716,0.0003683318,0.009637225,0.0003839047,0.00007649951,0.00009536263,0.02405674,0.00004231951,0.002623754,0.06915176,0.8912138,0.0007285248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662578,0.001075348,0.0003452387,0.01534728,0.0003276679,0.000123658,0.000001277375,0.0002460261,0.01627573],"genre_scores_gemma":[0.9941036,0.000483172,0.0004109216,0.00006671289,0.0001514614,0.00001291159,4.870427e-7,0.000009838541,0.004760969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8910899,"threshold_uncertainty_score":0.6386886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991496661300043,"score_gpt":0.2909538193262052,"score_spread":0.2710388527132048,"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."}}