{"id":"W4390610655","doi":"10.1080/16184742.2023.2292102","title":"Agency and institutions in sport","year":2024,"lang":"en","type":"article","venue":"European Sport Management Quarterly","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; University of Alberta","funders":"","keywords":"Scholarship; Institutional theory; Context (archaeology); Optimal distinctiveness theory; Public relations; Agency (philosophy); Sport management; Sociology; Articulation (sociology); Set (abstract data type); Politics; Political science; Positive economics; Social science; Social psychology; Psychology; Economics","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":[0.004060905,0.0002203677,0.0003451424,0.002151209,0.004377772,0.009898367,0.0009141353,0.001996953,0.005702619],"category_scores_gemma":[0.005393971,0.0002213355,0.0004399635,0.002505118,0.02858432,0.004564058,0.005682921,0.001512899,0.0006035034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005238881,"about_ca_system_score_gemma":0.004846212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009276161,"about_ca_topic_score_gemma":0.008027922,"domain_scores_codex":[0.9946255,0.003008604,0.0002027449,0.0007546413,0.0006263385,0.0007821954],"domain_scores_gemma":[0.9957678,0.001783617,0.0007827936,0.0004864176,0.0003816923,0.0007977803],"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":[0.000007814921,0.00001139656,0.001497032,0.00002988914,0.000007132001,0.0000336568,0.003195713,0.000395803,0.00003511538,0.9854161,0.00127207,0.008098177],"study_design_scores_gemma":[0.00001661234,0.00003947718,0.006557922,0.0002416016,0.00001155939,0.0000881616,0.005640384,0.0007663372,0.00008228284,0.8409865,0.1455452,0.00002398487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09434913,0.01122273,0.01815029,0.02614475,0.0003541255,0.00007171035,0.00009520249,0.00007852846,0.8495335],"genre_scores_gemma":[0.97771,0.002757146,0.002009659,0.0008867862,0.0002345339,0.00006366327,0.00004090673,0.00002577105,0.01627146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009898367,"threshold_uncertainty_score":0.0380109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296598415346698,"score_gpt":0.307696311877026,"score_spread":0.2780364703423562,"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."}}