{"id":"W6992686776","doi":"","title":"Mapping Governmental Engagement with Community Engaged Learning in Canadian Higher Education: An Environmental Scan of Key Trends","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Government (linguistics); Legislation; Context (archaeology); Community engagement; Key (lock); Stakeholder engagement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003987562,0.0003215962,0.0004339696,0.009197048,0.01133296,0.006356226,0.001810303,0.0007482119,0.003440335],"category_scores_gemma":[0.009077224,0.000353564,0.000469826,0.03003891,0.004516153,0.002302394,0.004833191,0.001878161,0.0002130915],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09851116,"about_ca_system_score_gemma":0.1438981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946602,"about_ca_topic_score_gemma":0.997619,"domain_scores_codex":[0.9937466,0.0005148813,0.0002323613,0.0005793733,0.002723733,0.002203078],"domain_scores_gemma":[0.9900779,0.001637071,0.001179714,0.0003012555,0.005401879,0.001402334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001354312,0.0001218538,0.5454151,0.001616057,0.0001073817,0.000443373,0.2111417,0.0004651962,0.001612194,0.0228276,0.02665809,0.1894561],"study_design_scores_gemma":[0.000003580402,0.00003636367,0.6989831,0.0004863061,0.00004122084,0.00007846482,0.2185768,0.0003446324,0.0003719654,0.000635874,0.08038425,0.00005737046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783394,0.006939868,0.00121034,0.0159317,0.00009157694,0.0002468231,0.008869964,0.00009229721,0.08827808],"genre_scores_gemma":[0.9893,0.003177469,0.001295543,0.0008036062,0.00001690021,0.00008585166,0.00140629,0.00003131541,0.003883063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9014888,"threshold_uncertainty_score":0.7147518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134576068890851,"score_gpt":0.3141034121328091,"score_spread":0.200645805243724,"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."}}