{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006938136,0.0005026142,0.0003419945,0.002948598,0.003612402,0.00790865,0.0009215689,0.001550811,0.002927234],"category_scores_gemma":[0.01819099,0.0003651189,0.0004313419,0.001437542,0.01021074,0.006458464,0.006412304,0.001327032,0.000497363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010758,"about_ca_system_score_gemma":0.001791091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994582,"about_ca_topic_score_gemma":0.002492235,"domain_scores_codex":[0.9943612,0.00410405,0.0001606703,0.0003493064,0.0006983542,0.000326574],"domain_scores_gemma":[0.9852447,0.01203742,0.0007020055,0.0008958058,0.0007082127,0.0004117966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001350606,0.00006002668,0.006504864,0.0004722874,0.00002503621,0.001497383,0.8047534,0.001533152,0.01303528,0.09782013,0.001601949,0.07256142],"study_design_scores_gemma":[0.00004661916,0.0001929863,0.01235525,0.0008230271,0.00007327415,0.001868641,0.6918932,0.01084903,0.0170553,0.05733918,0.2073708,0.0001328865],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7688118,0.001047478,0.1254585,0.004908546,0.0001446645,0.0003089998,0.0001824031,0.0004181595,0.09871947],"genre_scores_gemma":[0.9734418,0.0003087481,0.01955328,0.0001936147,0.00002240197,0.0001592854,0.0000632525,0.0001118618,0.006145816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00790865,"threshold_uncertainty_score":0.0366928,"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."}}