{"id":"W4379653741","doi":"10.32920/ifmj.v3i1.1849","title":"Reframing Refugee Characters","year":2023,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive reframing; Refugee; Political science; Sociology; Psychology; Social psychology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007220689,0.00008212059,0.0001136429,0.0001893179,0.0005435648,0.0001955701,0.0001013092,0.00007259745,0.0004278253],"category_scores_gemma":[0.001168575,0.00006681281,0.00005540606,0.0002084497,0.00009848896,0.0007811479,0.00001598904,0.0003282775,0.0001240226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009215011,"about_ca_system_score_gemma":0.0001263668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009754735,"about_ca_topic_score_gemma":0.001194626,"domain_scores_codex":[0.9989766,0.0001688375,0.0001996993,0.0001249993,0.0002933321,0.0002364831],"domain_scores_gemma":[0.9991621,0.0002823093,0.00014135,0.00005371102,0.0001805101,0.0001800056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001826111,0.00007772563,0.006562335,0.00001395488,0.0001196175,0.00009602625,0.6625217,0.0000039287,0.008662314,0.0202012,0.08568707,0.2158715],"study_design_scores_gemma":[0.0004077167,0.00009296309,0.04916348,0.0001659479,0.00002358736,0.0000478006,0.06607449,0.0002233327,0.001042633,0.00493707,0.8776023,0.0002186301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874168,0.0001022897,0.0001482626,0.001822959,0.002364207,0.00007859436,0.000006924678,0.00005574027,0.008004224],"genre_scores_gemma":[0.9924371,0.001746421,0.00006950965,0.0002634933,0.001565143,0.000006354384,0.00001837754,0.000008656525,0.00388493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7919153,"threshold_uncertainty_score":0.4684387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847577927652055,"score_gpt":0.3222681017644953,"score_spread":0.3037923224879748,"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."}}