{"id":"W2185612605","doi":"10.1007/s11423-015-9386-5","title":"Communicating through body: a situated embodiment-based strategy with flag semaphore for procedural knowledge construction","year":2015,"lang":"en","type":"article","venue":"Educational Technology Research and Development","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Situated; Situated cognition; Embodied cognition; Context (archaeology); Situated learning; Computer science; Cognition; Semaphore; Educational technology; Human–computer interaction; Psychology; Artificial intelligence; Mathematics education","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":[0.001102439,0.0005549135,0.0003130662,0.0006459847,0.001173943,0.002296819,0.001206298,0.001157275,0.007008875],"category_scores_gemma":[0.003618648,0.0004185999,0.0007059002,0.0004736947,0.003231661,0.004659562,0.003697324,0.0009166769,0.0007607257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942771,"about_ca_system_score_gemma":0.001124471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699847,"about_ca_topic_score_gemma":0.001763333,"domain_scores_codex":[0.999263,0.0002753399,0.00003650822,0.0002038274,0.0001316655,0.0000897904],"domain_scores_gemma":[0.9990815,0.0003770961,0.00008470719,0.0002677153,0.00008728681,0.0001017478],"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":[0.0003236196,0.0001416815,0.004723259,0.0003421819,0.00007800754,0.0007361984,0.0356016,0.005678337,0.112256,0.6401024,0.002162276,0.1978543],"study_design_scores_gemma":[0.0001288543,0.0007067018,0.0113231,0.0003905071,0.0002605333,0.001526605,0.01771765,0.1616339,0.09608076,0.6449876,0.06503239,0.0002113139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08165132,0.00006199462,0.8755027,0.0004023659,0.00006757737,0.0001130498,0.00005486337,0.0009131772,0.04123298],"genre_scores_gemma":[0.6542949,0.00004855642,0.3358169,0.00008695991,0.000009232012,0.0001040829,0.00008891503,0.0002042807,0.009346166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007008875,"threshold_uncertainty_score":0.02344704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2024818604014787,"score_gpt":0.444880739959104,"score_spread":0.2423988795576253,"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."}}