{"id":"W4382466970","doi":"10.1007/978-3-031-31678-4_5","title":"Effective Teaching: Linking Outcomes of Active Citizenship to Learning Environments","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; British Columbia Institute of Technology; Douglas College","funders":"","keywords":"Citizenship; Experiential learning; Learning environment; Active citizenship; Perception; Active learning (machine learning); Psychology; Computer science; Mathematics education; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002418625,0.0001849201,0.000243027,0.001309326,0.0005173602,0.003475249,0.0005089352,0.0002903612,0.004073877],"category_scores_gemma":[0.006897277,0.0000902562,0.0001920926,0.001242908,0.0009286074,0.001029209,0.001601041,0.0007748459,0.0004284189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738755,"about_ca_system_score_gemma":0.00180388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00465263,"about_ca_topic_score_gemma":0.01142228,"domain_scores_codex":[0.9985733,0.0004740115,0.00005561862,0.00009763104,0.0006770265,0.0001225134],"domain_scores_gemma":[0.9949136,0.002311052,0.001021775,0.0002076692,0.0008838936,0.0006619855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009108586,0.001337817,0.3091426,0.0006686968,0.0001213121,0.0001089648,0.01726167,0.0009774658,0.001478239,0.009586194,0.008427246,0.6507987],"study_design_scores_gemma":[0.000006662349,0.0003402461,0.9672502,0.0003629622,0.00006698808,0.00007428238,0.0111058,0.0008487803,0.002303476,0.004877632,0.0127329,0.00002993987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9003894,0.00120315,0.004433048,0.001177655,0.00007383078,0.0001963303,0.0004040184,0.0001865945,0.09193596],"genre_scores_gemma":[0.9919167,0.0006269727,0.002386949,0.00005579536,0.00001302387,0.00008811794,0.0001512433,0.00002299931,0.004738184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00465263,"threshold_uncertainty_score":0.01362854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571763809574349,"score_gpt":0.3376776195028127,"score_spread":0.3019599814070691,"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."}}