{"id":"W1529361470","doi":"10.19173/irrodl.v16i1.1953","title":"Trends in distance education research: A content analysis of journals 2009-2013","year":2015,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":325,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distance education; Content analysis; Descriptive statistics; Social network analysis; Social studies; Open education; Social science; Mathematics education; Library science; Psychology; Sociology; Computer science; Statistics; Pedagogy; Mathematics; Social capital","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005585133,0.0002732552,0.0007031783,0.04646507,0.0009699581,0.003403518,0.0006276877,0.0005024888,0.001981341],"category_scores_gemma":[0.03253309,0.0002994207,0.0007570541,0.06235776,0.0007140907,0.003488967,0.001817521,0.0005107598,0.0005559884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004199708,"about_ca_system_score_gemma":0.006562825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005599199,"about_ca_topic_score_gemma":0.00865181,"domain_scores_codex":[0.9936332,0.0008490192,0.002015305,0.000665998,0.002414214,0.0004222302],"domain_scores_gemma":[0.94467,0.02134444,0.01304729,0.0008524728,0.01845338,0.001632421],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007136822,0.0001535069,0.4972655,0.02748243,0.0004996634,0.0008401888,0.05638512,0.0003645385,0.006484692,0.004825898,0.02135467,0.3836302],"study_design_scores_gemma":[0.00002213041,0.0001558439,0.8278901,0.008079615,0.0002953809,0.001045314,0.04448142,0.0004578166,0.001833086,0.0005652197,0.1150925,0.00008158603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833281,0.04495183,0.001858381,0.005239638,0.0005083334,0.001009972,0.0451713,0.0001753798,0.01775713],"genre_scores_gemma":[0.892056,0.0572314,0.0104138,0.001449628,0.0005909608,0.001675119,0.03080196,0.0002084012,0.005572742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944149,"threshold_uncertainty_score":0.03047121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3895952417739194,"score_gpt":0.5738366420104379,"score_spread":0.1842414002365186,"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."}}