{"id":"W4310436385","doi":"10.21432/cjlt28263","title":"Designing Knowledge Dissemination in a Digital Era – Analysing TED Talk’s Multimodal Orchestration","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanyang Technological University","keywords":"Orchestration; Dissemination; Gesture; Semiotics; Multimodality; Computer science; Discourse analysis; Instructional design; Function (biology); Social media; Systemic functional linguistics; Multimedia; World Wide Web; Linguistics; Artificial intelligence; Visual arts","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002945022,0.00007770993,0.0001796168,0.001399676,0.0005705525,0.0001366464,0.00009829871,0.00003042387,0.0002379744],"category_scores_gemma":[0.0003475734,0.00007656005,0.00003835995,0.0002636056,0.0002175769,0.0001897145,0.00002440312,0.0005267753,0.000001095116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235987,"about_ca_system_score_gemma":0.0001803058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004900572,"about_ca_topic_score_gemma":0.02449113,"domain_scores_codex":[0.9993708,0.00004543425,0.0002361357,0.0000991657,0.00007689292,0.0001716287],"domain_scores_gemma":[0.9995344,0.0000629063,0.0001733009,0.00004402392,0.0001279966,0.00005741569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003824663,0.0001628025,0.2568202,0.00004364445,0.0006348048,0.001605896,0.1816582,0.003505144,0.001769281,0.05075613,0.0009514065,0.5020542],"study_design_scores_gemma":[0.001081585,0.0009214631,0.002118677,0.0002594714,0.0002606416,0.0004949927,0.8938259,0.006542781,0.0002782966,0.004057978,0.0895569,0.0006013234],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902167,0.002215912,0.0001481913,0.000711051,0.00010306,0.00003822674,0.000004680813,0.00001771244,0.006544432],"genre_scores_gemma":[0.9988315,0.000007168439,0.00009908043,0.000003819074,0.00006844803,0.000003869837,0.000007765228,0.000008746529,0.0009695927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7121677,"threshold_uncertainty_score":0.9933094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072408664489515,"score_gpt":0.2522631511860311,"score_spread":0.2415390645411359,"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."}}