{"id":"W4307138256","doi":"10.1080/15512169.2022.2130795","title":"Electoral Candidate Debates for Policy Learning in Large First-Year Classes","year":2022,"lang":"en","type":"article","venue":"Journal of Political Science Education","topic":"Innovative Teaching Methodologies in Social Sciences","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Experiential learning; Debriefing; Experiential education; Politics; Active learning (machine learning); Class (philosophy); Pedagogy; Student engagement; Civic engagement; Political science; Psychology; Mathematics education; Sociology; Public relations; Social psychology; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01672961,0.00007341174,0.0001680081,0.0005474334,0.00246932,0.0001463545,0.0008140625,0.00003801934,0.0001002204],"category_scores_gemma":[0.0308034,0.00006691651,0.00007786866,0.002571304,0.001097632,0.0006383897,0.0001159969,0.0004628992,0.000001069921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311992,"about_ca_system_score_gemma":0.01316302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006644894,"about_ca_topic_score_gemma":0.001642097,"domain_scores_codex":[0.9967788,0.0007582858,0.0003687915,0.0001769189,0.0009252997,0.0009918384],"domain_scores_gemma":[0.9978245,0.001086002,0.0003089528,0.00006993874,0.0004794593,0.0002311028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001455623,0.000121049,0.09038995,0.00000328247,0.000001908095,4.066021e-7,0.006630831,0.00005338129,0.0002096997,0.9005029,0.0004386892,0.001633314],"study_design_scores_gemma":[0.0005476493,0.0007595618,0.2403331,0.00003949171,0.00001633183,0.00001299786,0.2010004,0.0001506652,0.0005368512,0.4073574,0.1488949,0.0003505839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385036,0.00005413557,0.002043627,0.04904634,0.002628207,0.0002664133,0.00000705368,0.00002643907,0.00742422],"genre_scores_gemma":[0.9930595,0.000006149071,0.005009294,0.0004969448,0.001021232,0.00001603802,8.60947e-7,0.00000475864,0.0003852063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4931455,"threshold_uncertainty_score":0.99997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06339964857883483,"score_gpt":0.4687816817313101,"score_spread":0.4053820331524752,"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."}}