{"id":"W2079502595","doi":"10.1007/s11858-014-0623-x","title":"Accumulation of experience in a vast number of cases: enactivism as a fit framework for the study of spatial reasoning in mathematics education","year":2014,"lang":"en","type":"article","venue":"ZDM","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Enactivism; Context (archaeology); Cognitive science; Spatial intelligence; Cognition; Spatial cognition; Computer science; Expansive; Dynamism; Action (physics); Witness; Psychology; Artificial intelligence; Epistemology; Autopoiesis","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":[0.0001505469,0.00004810222,0.0001085901,0.00004998449,0.00001007855,0.0000037835,0.00004787483,0.0000387102,0.0000259718],"category_scores_gemma":[0.0004939536,0.00004265501,0.00001733835,0.0001460643,0.00001066833,0.00006351832,0.000006990464,0.00005429364,8.800073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002007896,"about_ca_system_score_gemma":0.00001401138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120144,"about_ca_topic_score_gemma":0.0002989221,"domain_scores_codex":[0.9995359,0.00002163754,0.0002403151,0.00005521352,0.00009655353,0.00005043495],"domain_scores_gemma":[0.999298,0.000438964,0.00009505038,0.0001074412,0.00005179768,0.000008704067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003345034,0.004077656,0.3297176,0.001411679,0.00009370589,0.000001335452,0.3702863,0.08383884,0.0109506,0.01948878,0.00002839817,0.1797706],"study_design_scores_gemma":[0.001864155,0.0003301267,0.2782502,0.001535233,0.00005161434,0.000006337035,0.03645793,0.6280664,0.04021559,0.01293776,0.00002944999,0.0002552614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505363,0.000007349241,0.0488014,0.000005614648,0.00007467421,0.0003841997,0.000001552331,0.000007875223,0.0001810976],"genre_scores_gemma":[0.997363,0.000002095715,0.002500194,0.000004056729,0.00002421655,0.00009245165,0.0000031471,0.000008217071,0.000002662766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5442275,"threshold_uncertainty_score":0.1739421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578313599384845,"score_gpt":0.3841983728651879,"score_spread":0.3184152368713394,"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."}}