{"id":"W2337298079","doi":"10.15402/esj.v1i1.35","title":"Conversation with Randy Stoecker, University of Wisconsin-Madison","year":2015,"lang":"en","type":"article","venue":"Engaged Scholar Journal Community-Engaged Research Teaching and Learning","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Scholarship; Scope (computer science); Converse; Community engagement; Sociology; Engaged scholarship; Media studies; Service (business); Public relations; Epistemology; Political science; Law; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8013272,0.0001990427,0.0003559715,0.0005515703,0.3844258,0.0004623888,0.0009049271,0.0001814473,0.00008936022],"category_scores_gemma":[0.3088352,0.000195481,0.0000817175,0.0005506009,0.0008018152,0.001025536,0.0003430896,0.5195727,0.00002029579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403061,"about_ca_system_score_gemma":0.0006425143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01812741,"about_ca_topic_score_gemma":0.00254376,"domain_scores_codex":[0.3717141,0.6265761,0.0001929706,0.0001287801,0.0009541079,0.0004339033],"domain_scores_gemma":[0.883738,0.1141177,0.0002327267,0.0004400266,0.0008647271,0.0006067762],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003459289,0.0001732451,0.005712176,0.00003137341,0.0001063897,0.00002696096,0.9766832,0.00122731,0.0004071734,0.0001000308,0.0004818326,0.01470436],"study_design_scores_gemma":[0.002192023,0.0006584345,0.003079917,0.0002866755,0.00003745607,0.00002722728,0.9097951,0.00024388,0.00002044938,0.0001101719,0.0833466,0.0002020747],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815637,0.0007880777,0.001207454,0.001246187,0.000109673,0.0002278399,0.000001092891,0.000135919,0.01472],"genre_scores_gemma":[0.9940922,0.0005367019,0.003414324,0.00004254231,0.0001145996,0.000001093889,0.00001190411,0.00003285323,0.001753765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5193912,"threshold_uncertainty_score":0.9884109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2026610388844558,"score_gpt":0.3806096273172758,"score_spread":0.17794858843282,"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."}}