{"id":"W2589664610","doi":"","title":"Me, Myself, and Interface: The Role of Affordances in Digital Visual Self-Representational Practices","year":2015,"lang":"en","type":"dissertation","venue":"YorkSpace (York University)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Affordance; Avatar; Human–computer interaction; Computer science; Construct (python library); Interface (matter); Artifact (error); Action (physics); Agency (philosophy); Multimedia; Artificial intelligence; Sociology","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":[0.0002415961,0.0001449983,0.000211137,0.0002181499,0.0000942091,0.0001963288,0.0003605511,0.0001808647,0.00002253677],"category_scores_gemma":[0.0003734384,0.0001313038,0.00005900375,0.000592165,0.0002161725,0.0009014146,0.00006150849,0.0002191587,0.000007675879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058565,"about_ca_system_score_gemma":0.0006049479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000705578,"about_ca_topic_score_gemma":0.01244699,"domain_scores_codex":[0.9988538,0.00007828102,0.0001318241,0.00025313,0.0004688925,0.0002140431],"domain_scores_gemma":[0.9987777,0.0002997433,0.000536504,0.0001018978,0.0001686794,0.0001155106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001097563,0.0008177702,0.03334239,0.0001958141,0.0005130738,0.00004863562,0.7164081,0.0000970714,0.0001096822,0.1118736,0.004066913,0.1314294],"study_design_scores_gemma":[0.0002181418,0.00004725079,0.0008676743,0.00007697074,0.00004756579,4.645188e-7,0.5929148,0.00002178279,0.00003857964,0.0008668833,0.4047621,0.0001378737],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4773627,0.001074101,0.000001977866,0.0001540204,0.0002651902,0.0002365527,0.00001481965,0.00003406471,0.5208566],"genre_scores_gemma":[0.8795615,0.0005807226,0.00009631828,0.000006389484,0.0001008388,0.000001396857,0.00007703546,0.00001215076,0.1195637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4021988,"threshold_uncertainty_score":0.6945713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320430721990915,"score_gpt":0.3055833526827096,"score_spread":0.2923790454628004,"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."}}