{"id":"W1848543926","doi":"10.29173/cmplct16537","title":"On the Recursion between Teaching and Learning","year":2012,"lang":"en","type":"article","venue":"Complicity An International Journal of Complexity and Education","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recursion (computer science); Embodied cognition; Perspective (graphical); Curriculum; Mathematics education; Relation (database); Computer science; Transformation (genetics); Pedagogy; Sociology; Mathematics; Artificial intelligence; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.001596598,0.00006282939,0.00007759142,0.0001525629,0.0006064973,0.0001787451,0.0002793038,0.00002096842,0.00008836127],"category_scores_gemma":[0.002218831,0.00004524194,0.00002450938,0.00007132236,0.0002138599,0.0007501788,0.0000608466,0.0005666431,0.000009910356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004426366,"about_ca_system_score_gemma":0.00007129874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000399951,"about_ca_topic_score_gemma":0.000001073976,"domain_scores_codex":[0.998664,0.0005437807,0.0001740281,0.0001047241,0.0003813616,0.0001320681],"domain_scores_gemma":[0.9983676,0.001061778,0.0001648079,0.00006465272,0.0001921942,0.0001489478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001357597,0.000930075,0.0944855,0.0000135405,0.00002054193,5.011147e-7,0.0111632,0.000009976627,0.02149356,0.5667507,0.001553786,0.3034429],"study_design_scores_gemma":[0.0002864636,0.0004052402,0.8777085,0.0001351015,0.00001243977,0.0001866597,0.005504643,0.0004306158,0.0107397,0.08475319,0.01964611,0.0001913382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890655,0.00002479381,0.0005950676,0.006567467,0.0004908239,0.00006188892,0.000002681453,0.000005785007,0.003186012],"genre_scores_gemma":[0.9975785,0.00004115551,0.0003287024,0.001263837,0.0006186956,0.000001878571,0.000002880213,0.000003420722,0.0001609415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.783223,"threshold_uncertainty_score":0.4664749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2326953731195321,"score_gpt":0.436471919542725,"score_spread":0.203776546423193,"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."}}