{"id":"W4376874131","doi":"10.1007/s42330-023-00272-3","title":"Bodymarking: An Interpretive Framework for Analyzing Embodied Action in Classrooms","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Science Mathematics and Technology Education","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Embodied cognition; Gesture; Gaze; Action (physics); Coding (social sciences); Computer science; Point (geometry); Human–computer interaction; Sociology; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002662756,0.0007040855,0.0004165684,0.002959505,0.001097109,0.005536766,0.001521029,0.001232703,0.00449724],"category_scores_gemma":[0.00848656,0.0004385608,0.0007826519,0.001978039,0.005795076,0.004544213,0.002984877,0.001239921,0.0003648427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156068,"about_ca_system_score_gemma":0.001669682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006451347,"about_ca_topic_score_gemma":0.005376014,"domain_scores_codex":[0.9988294,0.0005166139,0.00008244315,0.0002727954,0.0002015869,0.00009720599],"domain_scores_gemma":[0.9967659,0.002097362,0.0003741216,0.0004193424,0.0002292287,0.0001140887],"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":[0.0002110942,0.0001200559,0.01201329,0.0004539512,0.0001011557,0.0006133968,0.05328816,0.01767443,0.02211326,0.7235371,0.001296497,0.1685776],"study_design_scores_gemma":[0.00005489252,0.0001492979,0.01742193,0.0005182516,0.0001290393,0.0004102087,0.0247355,0.1568801,0.01236175,0.761699,0.02549079,0.000149367],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04350202,0.0002727373,0.942807,0.0004887508,0.00005244748,0.0001389206,0.0002923557,0.0005230056,0.01192282],"genre_scores_gemma":[0.6457961,0.0002259352,0.3509187,0.0000747987,0.00003453553,0.0002906244,0.0001864823,0.0001751365,0.002297712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006451347,"threshold_uncertainty_score":0.01504475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042501958313156,"score_gpt":0.3812164667623864,"score_spread":0.3307914471792548,"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."}}