{"id":"W3127332941","doi":"10.22545/2021/00152","title":"Intergenerative Transdisciplinarity in “Glocal” Learning and Collaboration","year":2021,"lang":"en","type":"article","venue":"Transdisciplinary Journal of Engineering & Science","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transdisciplinarity; Flourishing; Scholarship; Context (archaeology); Glocalization; Sociology; Face (sociological concept); Coronavirus disease 2019 (COVID-19); Work (physics); Political science; Pandemic; Globalization; Social science; Geography; Psychology; Engineering; Social psychology","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":[0.03404218,0.0007603691,0.0006164067,0.005165719,0.01638549,0.02517642,0.002964576,0.003893604,0.006023039],"category_scores_gemma":[0.02239697,0.0004913407,0.0007036036,0.004259149,0.07060145,0.02136932,0.04600067,0.007687211,0.001026843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009301506,"about_ca_system_score_gemma":0.01925291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057196,"about_ca_topic_score_gemma":0.005923899,"domain_scores_codex":[0.9405361,0.04573017,0.001730827,0.003145158,0.005424371,0.003433387],"domain_scores_gemma":[0.9671932,0.01477586,0.003021919,0.005389163,0.004124678,0.005495156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002870233,0.00008058823,0.003534105,0.0003289735,0.00003808941,0.0004380188,0.223755,0.00032294,0.0002721044,0.7238766,0.003019161,0.04430567],"study_design_scores_gemma":[0.0000230218,0.00008336573,0.001816772,0.0009686419,0.0000197876,0.0009122478,0.2323145,0.0005214399,0.0004808978,0.5312068,0.2316026,0.00005003382],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1900654,0.02411276,0.143335,0.1030787,0.002332667,0.0004655634,0.0000848854,0.0004072813,0.5361177],"genre_scores_gemma":[0.9754648,0.002817543,0.009835786,0.002816288,0.000211247,0.0001899191,0.00003345162,0.00006976,0.008561051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03404218,"threshold_uncertainty_score":0.1800344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224832910825796,"score_gpt":0.3873327429381628,"score_spread":0.3550844138299048,"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."}}