{"id":"W4281957479","doi":"10.29173/isotl602","title":"Packing up the Big Tent","year":2022,"lang":"en","type":"article","venue":"Imagining SoTL","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Metaphor; Presentation (obstetrics); Scholarship of Teaching and Learning; Scholarship; Sociology; Space (punctuation); Big Idea; Diversity (politics); Order (exchange); Epistemology; Pedagogy; Teaching method; Computer science; Social science; Political science; Anthropology; Philosophy; Teaching and learning center; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001233661,0.00004162727,0.00004084334,0.00002691321,0.002286276,0.0001241946,0.000246842,0.000006908554,0.002216994],"category_scores_gemma":[0.0001051038,0.00003449587,0.0000334228,0.0002242859,0.00008013917,0.00008654061,0.00009668015,0.0002258865,0.00007195321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060202,"about_ca_system_score_gemma":0.0001787464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400226,"about_ca_topic_score_gemma":0.00009937167,"domain_scores_codex":[0.9989453,0.000316363,0.00008493699,0.0001104151,0.0003477351,0.000195261],"domain_scores_gemma":[0.9995825,0.0001556912,0.00005550994,0.0001394178,0.00002585323,0.00004101532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000104926,0.0001090593,0.01970125,0.000003960854,0.00004644568,0.000009383244,0.354193,0.0003344823,0.0001187422,0.146743,0.2287106,0.2500196],"study_design_scores_gemma":[0.00005565249,0.000007871613,0.001922189,0.000001413486,0.00000629147,9.088332e-7,0.07849665,0.00001558994,0.000007438929,0.0005754972,0.9188602,0.00005030116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1346474,0.0009735342,0.0005561897,0.4554372,0.01901731,0.0004404689,0.000009478604,0.0003720965,0.3885463],"genre_scores_gemma":[0.9842608,0.00002583749,0.0001021541,0.001775908,0.0004199845,0.00006077997,0.000001934092,0.000007568433,0.01334503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8496134,"threshold_uncertainty_score":0.9990126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0980290890570096,"score_gpt":0.377564508483951,"score_spread":0.2795354194269414,"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."}}