{"id":"W1575788355","doi":"10.56105/cjsae.v27i3.3866","title":"Big hat and no cattle? The implications of MOOCs for the adult learning landscape","year":2015,"lang":"en","type":"article","venue":"Canadian Journal for the Study of Adult Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Victoria","funders":"","keywords":"Andragogy; Massive open online course; Online learning; Sociology; Pedagogy; Adult education; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003689336,0.0002294651,0.0003276733,0.001211865,0.00984193,0.01567428,0.001477797,0.003091686,0.01333208],"category_scores_gemma":[0.01191726,0.0001695572,0.0002738639,0.001402122,0.02485417,0.01529095,0.005185842,0.003647499,0.0008794675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047032,"about_ca_system_score_gemma":0.006960351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0538969,"about_ca_topic_score_gemma":0.08689273,"domain_scores_codex":[0.9972127,0.001346402,0.00003750568,0.0001956591,0.0004416518,0.0007661926],"domain_scores_gemma":[0.9929044,0.00374587,0.0005360708,0.0003546681,0.0007993712,0.001659673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001180655,0.0001057699,0.0139981,0.0002158042,0.00001830469,0.0009960138,0.1270302,0.0002939847,0.0003485939,0.722027,0.03288769,0.1019605],"study_design_scores_gemma":[0.00002907508,0.00008679224,0.02941844,0.001044885,0.00003480875,0.0004069537,0.4569829,0.0007262016,0.0003380195,0.2410603,0.2698211,0.00005056467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2565416,0.01024607,0.003396496,0.3202048,0.0008872699,0.00005464594,0.0001181752,0.00006676601,0.4084842],"genre_scores_gemma":[0.9808366,0.002526244,0.0004143094,0.007673956,0.0001570636,0.00001248467,0.00001763336,0.00002707297,0.008334598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9461031,"threshold_uncertainty_score":0.1071663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732385444294819,"score_gpt":0.300069755549577,"score_spread":0.2727459011066288,"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."}}