{"id":"W2749550092","doi":"10.19173/irrodl.v18i5.2751","title":"Massive, Open, Online, and National? A Study of How National Governments and Institutions Shape the Development of MOOCs","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Mediation; Political science; Public relations; Government (linguistics); Diversity (politics); Globe; National development; Sociology; Psychology; Economic growth; Social science; Geography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006528252,0.0001488149,0.0002739023,0.0008645835,0.003807781,0.00679797,0.0007788991,0.0007491398,0.003209261],"category_scores_gemma":[0.007947297,0.0001750275,0.0002777567,0.001833254,0.006514375,0.006239095,0.00318658,0.00128165,0.0002451296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346301,"about_ca_system_score_gemma":0.01177073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1054485,"about_ca_topic_score_gemma":0.144543,"domain_scores_codex":[0.9957416,0.002616199,0.0001100075,0.0004081274,0.0004847606,0.0006392318],"domain_scores_gemma":[0.9946327,0.002991022,0.001035881,0.0001997436,0.0004735746,0.0006670795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001078997,0.0001248793,0.08214094,0.0003548018,0.00002536427,0.0008200131,0.6245651,0.0004968127,0.0003886857,0.2218028,0.005937867,0.0632349],"study_design_scores_gemma":[0.00002315438,0.00007155998,0.1058424,0.001214131,0.00003573292,0.0001281021,0.7544336,0.0006497841,0.0002852295,0.01470769,0.1225691,0.00003952253],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.884149,0.005022299,0.001356512,0.00879601,0.0002404739,0.00003601205,0.00007993379,0.00001474637,0.1003049],"genre_scores_gemma":[0.9963065,0.0009292594,0.0002319169,0.0003235954,0.00001295831,0.00001784188,0.00001424018,0.00001045634,0.002153221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993202,"threshold_uncertainty_score":0.2096695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282143298489366,"score_gpt":0.4973341898160103,"score_spread":0.2691198599670737,"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."}}