{"id":"W2488827046","doi":"10.4018/978-1-5225-5472-1.ch035","title":"Cross-Analysis of the Activity Systems of Higher Education International Students in Online Learning","year":2018,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Innovative Education and Learning Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Portrait; sort; Aggregate (composite); Object (grammar); Subject (documents); Activity theory; Computer science; Mathematics education; Psychology; Pedagogy; Art; Artificial intelligence; World Wide Web; Art history; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007711482,0.0001292012,0.0003117849,0.0002052397,0.0001341202,0.00009202964,0.0005863692,0.000208548,0.0007542188],"category_scores_gemma":[0.000269394,0.0001107432,0.0001535823,0.0001921391,0.000369401,0.00009270028,0.0001019619,0.0003269883,0.00001112959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004074939,"about_ca_system_score_gemma":0.0006414013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005727174,"about_ca_topic_score_gemma":0.002094137,"domain_scores_codex":[0.9982216,0.0002374389,0.0003843462,0.0002200338,0.0008188545,0.0001177478],"domain_scores_gemma":[0.9976726,0.0001169993,0.001229433,0.000199208,0.0007516975,0.0000300945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003617053,0.0001461143,0.2094229,0.00002053092,0.0007896692,2.287125e-7,0.00372906,0.00009914931,0.00001256951,0.7841128,0.0003463727,0.001284356],"study_design_scores_gemma":[0.0002013968,0.00003625871,0.5945037,0.0002979918,0.0004730834,2.960709e-7,0.002126807,0.00001856883,0.000008983195,0.003259158,0.3988408,0.0002329735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2533316,0.00004896864,0.000002701063,0.0001628217,0.002350344,0.0001680863,0.00003332341,0.00001063572,0.7438915],"genre_scores_gemma":[0.6397005,0.000002215969,0.00001017353,0.0000402437,0.0002692842,0.000003424758,0.000005232037,0.000005220778,0.3599637],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7808537,"threshold_uncertainty_score":0.8657812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625646826765184,"score_gpt":0.4435968247808031,"score_spread":0.3810321421042848,"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."}}