{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164447,0.0009429636,0.0004601914,0.001184683,0.01128666,0.008427609,0.001234234,0.003011958,0.007797923],"category_scores_gemma":[0.003573667,0.0003951866,0.000481785,0.0008523052,0.01039352,0.005945642,0.01299895,0.004006094,0.001124387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526149,"about_ca_system_score_gemma":0.001009315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004112915,"about_ca_topic_score_gemma":0.009717173,"domain_scores_codex":[0.9977054,0.001494173,0.00005176639,0.0001881845,0.0001836449,0.0003768436],"domain_scores_gemma":[0.9990765,0.0004341487,0.00008535013,0.00007037053,0.00007463201,0.0002588806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002394555,0.00002182864,0.0008830028,0.00009983386,0.000005473343,0.003701615,0.9606975,0.00005938049,0.001032099,0.02427768,0.00321168,0.005985904],"study_design_scores_gemma":[0.000004890369,0.00003823269,0.0007764636,0.0001855529,0.0000085033,0.003343868,0.7528656,0.0001167547,0.0005453611,0.002334839,0.2397616,0.00001832828],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040923,0.005504759,0.006632424,0.01201358,0.001485519,0.0001741465,0.0001838614,0.000173257,0.2697401],"genre_scores_gemma":[0.9544228,0.002190523,0.001881355,0.001045112,0.000125867,0.00009432493,0.0000883495,0.0001276049,0.04002418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128666,"threshold_uncertainty_score":0.02608669,"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."}}