{"id":"W2133974451","doi":"","title":"Commitment to Meaning: A Reframing of Agency in Games","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Agency (philosophy); Meaning (existential); Cognitive reframing; Narrative; Conversation; Conversation analysis; Perspective (graphical); Epistemology; Sociology; Storytelling; Pleasure; Social psychology; Psychology; Linguistics; Computer science; Communication; Social science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003244796,0.0001818999,0.0002898537,0.000227216,0.00005601153,0.0005852311,0.0005099381,0.0001097961,0.0001966788],"category_scores_gemma":[0.0006842067,0.0001755265,0.0001242647,0.0008255076,0.0001005309,0.002416942,0.0001077879,0.0002156128,0.000364404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006128903,"about_ca_system_score_gemma":0.0001579372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359169,"about_ca_topic_score_gemma":0.00002526229,"domain_scores_codex":[0.9981175,0.00007559216,0.0004518469,0.0003167862,0.0005118581,0.0005264113],"domain_scores_gemma":[0.9990676,0.0001163159,0.0001054763,0.0002556836,0.00003255215,0.0004223846],"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":[0.0001187198,0.0006442597,0.06750315,0.00002868842,0.00001831373,0.00006854772,0.006271216,0.00001271934,0.000199829,0.05994436,0.002740413,0.8624498],"study_design_scores_gemma":[0.0003205769,0.0001987032,0.0146948,0.0001872746,0.000005038159,8.003146e-7,0.0007967266,0.000003852573,0.0007052044,0.01977512,0.9630316,0.0002803172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4133192,0.0001285259,0.00002544348,0.002005098,0.00009762938,0.0003254211,0.0001981885,0.0001249623,0.5837755],"genre_scores_gemma":[0.9890827,0.00003142846,0.0008919279,0.001116155,0.0001112368,0.00001016077,0.00005175319,0.00002212788,0.008682519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9602911,"threshold_uncertainty_score":0.7157763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017420576387672,"score_gpt":0.2645486647400916,"score_spread":0.2443744589762149,"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."}}