{"id":"W4415250214","doi":"10.1145/3757436","title":"Live, Learn, and Connect: Unpacking Live-Streaming-Based Silver Classroom in China","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lifelong learning; Unpacking; Sociotechnical system; Informal learning; Educational technology; China; Experiential learning; Learning sciences; Social learning; Collaborative learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000741218,0.0003148105,0.0002440601,0.001450188,0.003992073,0.001371056,0.0007623604,0.0004697265,0.002396079],"category_scores_gemma":[0.0007124392,0.0001824273,0.0002072968,0.001419692,0.001917599,0.001485905,0.002633425,0.0004774484,0.0001838182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002814764,"about_ca_system_score_gemma":0.004056909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05574349,"about_ca_topic_score_gemma":0.1246377,"domain_scores_codex":[0.9996634,0.00008127886,0.00001725783,0.00006374239,0.00005462308,0.0001197607],"domain_scores_gemma":[0.9994267,0.00009758968,0.00006143984,0.00005209173,0.00006756128,0.000294651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002220545,0.0006609961,0.274577,0.0005952152,0.00004315978,0.008280275,0.5018775,0.001810883,0.01322811,0.01572945,0.005562606,0.1774127],"study_design_scores_gemma":[0.00002732189,0.000560837,0.3595962,0.0002329342,0.00008313724,0.0008832877,0.5675484,0.007579636,0.003261358,0.004025929,0.05608502,0.0001159581],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996085,0.000066477,0.0005778077,0.0002276476,0.000006867809,0.0000384126,0.00003982559,0.00001840784,0.002939478],"genre_scores_gemma":[0.9968262,0.00009891497,0.0006979787,0.00006710933,0.00000419791,0.00002522973,0.00005436483,0.000008713657,0.002217382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05574349,"threshold_uncertainty_score":0.1108381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990451888850162,"score_gpt":0.3023563750456257,"score_spread":0.282451856157124,"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."}}