{"id":"W2068768077","doi":"10.1007/s10649-005-5536-8","title":"Diagrammatic Reasoning as the Basis for Developing Concepts: A Semiotic Analysis of Students' Learning about Statistical Distribution","year":2005,"lang":"en","type":"article","venue":"Educational Studies in Mathematics","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Semiotics; Diagrammatic reasoning; Reification (Marxism); Computer science; Terminology; Mathematics education; Epistemology; Analogical reasoning; Process (computing); Cognitive science; Mathematics; Psychology; Linguistics; Analogy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008091977,0.000332231,0.000259053,0.002373172,0.001919906,0.006025414,0.001010949,0.001102426,0.003961008],"category_scores_gemma":[0.03311817,0.0002912368,0.0004943496,0.001763576,0.009442313,0.006562428,0.002320675,0.002411894,0.0005718864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460359,"about_ca_system_score_gemma":0.001923153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114515,"about_ca_topic_score_gemma":0.0006755379,"domain_scores_codex":[0.9935208,0.005031754,0.0002154772,0.0003693629,0.0006865073,0.0001761923],"domain_scores_gemma":[0.9565623,0.03832412,0.001058902,0.001461702,0.002174517,0.0004183568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000782774,0.00003727981,0.002158171,0.0001342692,0.00001032118,0.0002970015,0.1367438,0.001021836,0.002158131,0.8311104,0.0009886139,0.02526192],"study_design_scores_gemma":[0.00005116019,0.00008568863,0.002951768,0.0002722195,0.00003657241,0.001237937,0.0663891,0.02023521,0.007476459,0.8354355,0.06576908,0.00005943545],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1629812,0.0003482709,0.776876,0.002500773,0.00007496915,0.0001466307,0.0001620364,0.0003457703,0.05656436],"genre_scores_gemma":[0.8783331,0.0001933084,0.1179457,0.0001508906,0.00001424465,0.0001371587,0.000143799,0.0002025989,0.00287924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008091977,"threshold_uncertainty_score":0.04279494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852820753545428,"score_gpt":0.5283728348955683,"score_spread":0.3430907595410255,"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."}}