{"id":"W3215708139","doi":"","title":"Telling the Stories of Left-behind Children in China: From Diary Collection to Digital Filmmaking","year":2021,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Children's Rights and Participation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filmmaking; Narrative; China; Power (physics); Representation (politics); Media studies; Sociology; Appeal; Gender studies; Social media; Psychology; History; Movie theater; Visual arts; Political science; Literature; Art; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001583632,0.000664145,0.0004636932,0.002844114,0.004604628,0.001672064,0.0008552843,0.0005491867,0.001579404],"category_scores_gemma":[0.003787947,0.000369756,0.0002665422,0.004702377,0.004258228,0.001954636,0.003375299,0.001085649,0.0001653873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003787787,"about_ca_system_score_gemma":0.001891704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03604873,"about_ca_topic_score_gemma":0.1039719,"domain_scores_codex":[0.9990321,0.0003820009,0.00008386914,0.0001398073,0.0001831156,0.0001791031],"domain_scores_gemma":[0.9977774,0.0009789354,0.0003848269,0.0002950354,0.0002446717,0.0003191809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004075503,0.00005600836,0.01916793,0.0002031963,0.00001765312,0.001388433,0.9579038,0.00005391976,0.001586077,0.0007374193,0.002220537,0.01662429],"study_design_scores_gemma":[0.000008451528,0.00007888474,0.1033429,0.0002230663,0.00004007823,0.0006350538,0.8519379,0.0001872431,0.001549838,0.0002426554,0.0417102,0.00004382674],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944686,0.0006963997,0.0002760076,0.0003404234,0.0000308608,0.0001029557,0.0005883531,0.000008864825,0.003487565],"genre_scores_gemma":[0.9914755,0.00192532,0.001159744,0.0001250474,0.0000476576,0.0002722409,0.0007728576,0.00002556151,0.004196155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03604873,"threshold_uncertainty_score":0.0716778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811222492090524,"score_gpt":0.3032934375500243,"score_spread":0.2851812126291191,"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."}}