{"id":"W4299635939","doi":"10.46692/9781447333753.020","title":"The balancing act: community agency leadership in multi-ethnic/multiracial communities","year":2017,"lang":"en","type":"other","venue":"","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Ethnic group; Political science; Public administration; Sociology; Law; Social science","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":[0.00990421,0.0005977622,0.0003377536,0.001089366,0.03254322,0.01805513,0.002423242,0.005574903,0.008206599],"category_scores_gemma":[0.009265202,0.0004426533,0.0004871668,0.001536219,0.03834989,0.01109607,0.01162582,0.006557785,0.001213752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02475535,"about_ca_system_score_gemma":0.03135733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.144536,"about_ca_topic_score_gemma":0.3344193,"domain_scores_codex":[0.9803872,0.01467672,0.0001885961,0.0007198056,0.001363773,0.002663968],"domain_scores_gemma":[0.9903965,0.002832202,0.0007026428,0.0003580233,0.0009840891,0.004726632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003193703,0.00009749579,0.003461844,0.0001446066,0.00001666352,0.00127227,0.6459407,0.0004066557,0.0002408526,0.2517165,0.06762466,0.02904585],"study_design_scores_gemma":[0.00002014326,0.00003531151,0.002925747,0.0003172511,0.00000931257,0.0002790224,0.5697221,0.0009427064,0.0001100896,0.04975801,0.375849,0.00003124381],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.109433,0.009958859,0.01621791,0.1641249,0.002172143,0.000360655,0.00005926169,0.0001811155,0.6974921],"genre_scores_gemma":[0.9354966,0.002960048,0.003409514,0.007296337,0.0002805754,0.0002120979,0.00004880253,0.00009714737,0.05019885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.144536,"threshold_uncertainty_score":0.2873895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4560784181932573,"score_gpt":0.4079093671897593,"score_spread":0.048169051003498,"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."}}