{"id":"W4403844643","doi":"10.54254/2753-7064/42/20242345","title":"An Analysis of the Dilemma of Developing Media Literacy Education in China","year":2024,"lang":"en","type":"article","venue":"Communications in Humanities Research","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Media literacy; China; Dilemma; Literacy; Political science; Public relations; Information literacy; The Internet; Digital divide; Social media; Economic growth; Sociology; Pedagogy; Information and Communications Technology; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377811,0.00008321147,0.0001902796,0.002061791,0.0002886937,0.0002843403,0.001326695,0.00003778522,0.0004573673],"category_scores_gemma":[0.0003079818,0.00006698594,0.00007241513,0.001084191,0.0008948115,0.0006637062,0.0002295207,0.0004437017,0.000006054307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027672,"about_ca_system_score_gemma":0.0008748476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007673962,"about_ca_topic_score_gemma":0.03758989,"domain_scores_codex":[0.9980938,0.0006886032,0.0005262115,0.0001573181,0.0003418351,0.0001921831],"domain_scores_gemma":[0.9969507,0.001063703,0.00007052276,0.001364704,0.0005284979,0.00002185809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000002923442,0.0001858551,0.007977181,0.0001079677,0.00003089342,9.108069e-8,0.6172388,0.00001100769,0.00000803486,0.3637169,0.0001308802,0.01058948],"study_design_scores_gemma":[0.0001436581,0.00004810242,0.4369814,0.001393873,0.000104719,6.563746e-7,0.430723,0.008904808,0.000115868,0.04015476,0.08118895,0.0002402337],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832719,0.003938887,0.000003487526,0.0006948632,0.0004340996,0.0002358528,0.00004122337,0.0000156158,0.01136407],"genre_scores_gemma":[0.9975916,0.0007500696,0.000251262,0.00002389796,0.0001399475,0.0001295888,0.0002357581,0.00001275859,0.0008651717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290042,"threshold_uncertainty_score":0.998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945755507166219,"score_gpt":0.4578522912042103,"score_spread":0.2632767404875883,"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."}}