{"id":"W4306773044","doi":"10.1080/23750472.2022.2134183","title":"Practice theory and examining and managing sport and leisure","year":2022,"lang":"en","type":"article","venue":"Managing Sport and Leisure","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Diversity (politics); Inclusion (mineral); Practice theory; Big data; Value (mathematics); Everyday life; Sport management; Athletes; Knowledge management; Sociology; Public relations; Engineering ethics; Psychology; Management science; Computer science; Political science; Engineering; Social science","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":[0.009401503,0.0004959456,0.0002846094,0.002685155,0.003246636,0.007201301,0.001738951,0.002058643,0.00481797],"category_scores_gemma":[0.01093113,0.0002454275,0.0003442107,0.001956983,0.01651794,0.004308358,0.003927801,0.001533687,0.0004931443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006190373,"about_ca_system_score_gemma":0.01167317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004956542,"about_ca_topic_score_gemma":0.006409828,"domain_scores_codex":[0.9878456,0.009166894,0.0003263864,0.0007213731,0.001353171,0.0005864786],"domain_scores_gemma":[0.9889045,0.006011621,0.001542212,0.001144161,0.001413059,0.0009843869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002483408,0.0005047094,0.01797,0.0009156115,0.00003997007,0.0003669784,0.09299168,0.001424739,0.0005837457,0.7525645,0.00651457,0.1260986],"study_design_scores_gemma":[0.00005538495,0.0002873428,0.01325023,0.004255544,0.0000623606,0.0005087623,0.2051806,0.003376995,0.0009824551,0.5067465,0.2652473,0.00004652313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2044963,0.008140723,0.149959,0.07947019,0.0004763184,0.0007674614,0.0001150414,0.0001334952,0.5564414],"genre_scores_gemma":[0.9620518,0.00359207,0.02653718,0.001331208,0.00009337935,0.0003973727,0.00004475987,0.0000159497,0.005936373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009401503,"threshold_uncertainty_score":0.04972047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239465503866888,"score_gpt":0.2947453967373478,"score_spread":0.272350741698679,"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."}}