{"id":"W7103350281","doi":"","title":"Helping the Me Generation Decenter:\\nService Learning with Refugees","year":2016,"lang":"","type":"article","venue":"Insecta mundi","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Service-learning; Refugee; Formative assessment; Civic engagement; Scale (ratio); Service (business)","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":[0.003250921,0.0004609551,0.0002857413,0.0004746859,0.005679699,0.004018753,0.001023805,0.001246304,0.005032488],"category_scores_gemma":[0.00525365,0.0002229805,0.0004353531,0.000254996,0.00294444,0.002548412,0.007038523,0.002457608,0.001173132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009574759,"about_ca_system_score_gemma":0.002197403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390479,"about_ca_topic_score_gemma":0.01078112,"domain_scores_codex":[0.9986814,0.000721926,0.00005145724,0.00008872785,0.0001640157,0.0002924636],"domain_scores_gemma":[0.9980488,0.0003733723,0.0001837861,0.0002065687,0.0001339028,0.001053653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000166145,0.002987971,0.03727039,0.0003379486,0.0000392347,0.005657181,0.7054964,0.0003681787,0.005299246,0.003634227,0.01387235,0.2248707],"study_design_scores_gemma":[0.00006387661,0.002059662,0.03775394,0.0003986561,0.00003108965,0.004266986,0.8211297,0.000397235,0.004067787,0.002029873,0.1277153,0.00008581057],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983807,0.0002831171,0.00101295,0.003217685,0.0001350772,0.0001085816,0.00002824229,0.00005004449,0.01135729],"genre_scores_gemma":[0.9831303,0.0007791877,0.003402933,0.001069934,0.00004220743,0.0001132619,0.00006679438,0.00002585512,0.01136937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005679699,"threshold_uncertainty_score":0.01719272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795922760850708,"score_gpt":0.2866948679038841,"score_spread":0.248735640295377,"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."}}