{"id":"W2953078061","doi":"10.3390/su11123312","title":"From the Anthropocene to Mutual Thriving: An Agenda for Higher Education in the Ecozoic","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Thriving; Axiology; Consumerism; Plural; Sociology; Reflexivity; Anthropocene; Environmental ethics; Education for sustainable development; Sustainability; Pluralism (philosophy); Paradigm shift; Higher education; Sustainable development; Epistemology; Engineering ethics; Social science; Ecology; Political science; Law; Engineering","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":[0.006627411,0.0001974144,0.0002420057,0.00009274752,0.0009103666,0.0002587926,0.001032384,0.0001397439,0.0004406695],"category_scores_gemma":[0.003709639,0.0001331211,0.00009990986,0.0009396264,0.0004058034,0.000512338,0.00009561934,0.000246681,0.00002136637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002355874,"about_ca_system_score_gemma":0.003674184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05025963,"about_ca_topic_score_gemma":0.01348032,"domain_scores_codex":[0.996087,0.001654714,0.0004812686,0.0006146715,0.0005339285,0.0006284263],"domain_scores_gemma":[0.9957282,0.001240843,0.0001489218,0.001171804,0.001635011,0.0000752325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008002484,0.0005937871,0.5677091,0.000134886,0.00001220154,7.597447e-7,0.1349079,0.0001087994,0.000007763668,0.2793092,0.008843558,0.008291965],"study_design_scores_gemma":[0.0002125936,0.0001124011,0.5193812,0.000008897422,0.000008211507,1.339657e-7,0.1688686,0.00002994418,0.00000524301,0.1723338,0.1388624,0.0001766055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945864,0.00005757929,0.0001201681,0.04273603,0.001536734,0.00548709,0.00001880625,0.00006739693,0.004112164],"genre_scores_gemma":[0.9941819,8.765787e-7,0.00008673019,0.001338248,0.001373184,0.0004257129,0.00004814783,0.00002110241,0.00252404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1300188,"threshold_uncertainty_score":0.9560648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926506387833599,"score_gpt":0.4077988174564465,"score_spread":0.3785337535781105,"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."}}