{"id":"W2980431315","doi":"10.19173/irrodl.v20i4.4076","title":"Transformation From RTVUs to Open Universities in China","year":2019,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, India; Government of Jiangsu Province","keywords":"China; Distance education; Open education; Lifelong learning; Higher education; Open educational resources; Beijing; Open learning; Open university; Political science; Government (linguistics); Open government; Public relations; Business; Sociology; Economic growth; Open data; Pedagogy; Teaching method; Economics","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001733945,0.0001815406,0.0003072341,0.001241736,0.003272297,0.003305594,0.0007718965,0.0008255151,0.001962503],"category_scores_gemma":[0.003308928,0.0001849739,0.0004628537,0.002922485,0.002556216,0.002234649,0.00421888,0.0009146133,0.0001408558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033349,"about_ca_system_score_gemma":0.01916575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08907698,"about_ca_topic_score_gemma":0.06517269,"domain_scores_codex":[0.9978575,0.0002331208,0.0001633504,0.0002253042,0.0005098922,0.001010883],"domain_scores_gemma":[0.998117,0.0002030709,0.0003476929,0.0002011565,0.0003079501,0.0008232478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003228723,0.0004243801,0.3681209,0.000456695,0.00007668443,0.004482435,0.1200977,0.005525311,0.01054715,0.2365908,0.007938473,0.2454167],"study_design_scores_gemma":[0.00006195781,0.0003934263,0.8136787,0.000159922,0.00004038687,0.0005075472,0.06387626,0.006197887,0.003345793,0.0131788,0.0984053,0.0001539089],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929126,0.0003339782,0.0003701435,0.001287796,0.00002405673,0.0000442311,0.00005647687,0.00002385784,0.00494695],"genre_scores_gemma":[0.9980434,0.0001334127,0.0001400318,0.0001632584,0.000006618374,0.00001247064,0.00004948773,0.000002938684,0.001448282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992281,"threshold_uncertainty_score":0.177117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09018708883532056,"score_gpt":0.4907176392357341,"score_spread":0.4005305504004135,"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."}}