{"id":"W3021073163","doi":"10.21810/strm.v11i1.271","title":"Urban-Rural Mobility through the Lens of Food Documentary: A Case Study of “A Bite of China: Season Two”","year":2019,"lang":"en","type":"article","venue":"Stream Interdisciplinary Journal of Communication","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Dignity; Modernization theory; Resistance (ecology); Migrant workers; Modernity; Rural area; Geography; Sociology; Economic growth; Socioeconomics; Political science; Law; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009723639,0.0001136226,0.0004099947,0.00005499748,0.0003139406,0.00001023374,0.0006835797,0.00004270703,0.00003304125],"category_scores_gemma":[0.00005801962,0.00007242565,0.0001908103,0.0002563767,0.0004730996,0.0004864665,0.0005311391,0.0002773869,6.826742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007808276,"about_ca_system_score_gemma":0.0001001596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703201,"about_ca_topic_score_gemma":0.006295959,"domain_scores_codex":[0.9979718,0.0006928076,0.0007036697,0.00008145251,0.0004166285,0.0001335954],"domain_scores_gemma":[0.9974852,0.000303423,0.00118194,0.000599917,0.00039417,0.00003531679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002509612,0.001864414,0.06302137,0.00004849767,0.0005374821,0.000007729499,0.9282989,0.00007580195,0.000341096,0.00140149,0.00106964,0.003082611],"study_design_scores_gemma":[0.001252103,0.002987527,0.0193415,0.0002991268,0.0002095771,0.00005886512,0.9725081,0.000008503156,0.0004822119,0.002409227,0.0003537655,0.00008953849],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867365,0.001652304,0.00001015466,0.002073651,0.0001631494,0.0005038499,0.00001353236,0.000004547004,0.008842281],"genre_scores_gemma":[0.9994474,0.0002999226,0.0001118063,0.000007720944,0.00005577534,0.000005890618,0.000002537789,0.000006227857,0.00006271034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04420915,"threshold_uncertainty_score":0.3513293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346049746725756,"score_gpt":0.3585466633287157,"score_spread":0.3350861658614582,"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."}}