{"id":"W4413199886","doi":"10.3102/ip.25.2232976","title":"Making Sense of Learning: Emergence of Students’ Agency During Assessment in Maker Classrooms (Poster 46): Division C - Section 3a: Learning Environments Stage 2, 5:13 PM","year":2025,"lang":"en","type":"article","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Division (mathematics); Agency (philosophy); Section (typography); Stage (stratigraphy); Computer science; Mathematics education; Psychology; Sociology; Mathematics; Geology; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002765806,0.0001873168,0.0002292714,0.0003111952,0.00005067027,0.00001706829,0.000115443,0.00008748526,0.0005349126],"category_scores_gemma":[0.00002560659,0.0001983233,0.00005654769,0.0003763997,0.00001439311,0.0001159163,0.000112989,0.0004003962,0.000006910445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884643,"about_ca_system_score_gemma":0.00002113134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001779176,"about_ca_topic_score_gemma":0.00001429302,"domain_scores_codex":[0.9985845,0.0000578498,0.0005469444,0.0002251921,0.0003447235,0.0002407947],"domain_scores_gemma":[0.9996644,0.00002934164,0.00008903113,0.0001604592,0.00002002085,0.00003669802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005202979,0.0001405783,0.4849745,0.0004066455,0.00007071844,0.000004333052,0.001482788,0.4638585,0.04758752,0.00006205139,0.00004712868,0.001360005],"study_design_scores_gemma":[0.0005087706,0.00003493471,0.9695135,0.0004610058,0.00001324475,0.000001141981,0.001766994,0.01596588,0.01004192,0.000004807414,0.001459986,0.0002277907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725265,0.0001102737,0.02249158,0.00001317674,0.0006567946,0.0001986559,7.480451e-7,0.00009528066,0.003906978],"genre_scores_gemma":[0.9925115,0.0002216824,0.0007716281,0.000004958833,0.00001399713,0.00002720331,0.00000803742,0.00002499899,0.006415975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.484539,"threshold_uncertainty_score":0.8087391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009871685397139557,"score_gpt":0.2816482993126721,"score_spread":0.2717766139155325,"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."}}