{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081289,0.0001305026,0.0001298318,0.0003016246,0.0001812793,0.0001880381,0.000191873,0.00002470105,0.0002266804],"category_scores_gemma":[0.000002560316,0.0001307762,0.00005335268,0.0005055012,0.0001257611,0.0004451998,0.00002812317,0.0001208344,0.0005500611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006405709,"about_ca_system_score_gemma":0.00005679047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003938934,"about_ca_topic_score_gemma":0.0006775793,"domain_scores_codex":[0.9987441,0.00002458615,0.0002678751,0.0003247981,0.0002819182,0.0003566908],"domain_scores_gemma":[0.9996042,0.00000455911,0.00003562097,0.0001902821,0.00001180015,0.000153527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001075927,0.00009098271,0.01469029,0.00007156747,0.00003651013,0.004683957,0.0198379,0.000002800663,0.000004291495,0.8133864,0.004897258,0.1422873],"study_design_scores_gemma":[0.0001242484,0.00003988924,0.2056126,0.00009043425,0.0000230878,0.000002795289,0.001476371,0.000004172893,3.392963e-7,0.0004207667,0.7920673,0.0001380128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345787,0.0002835672,0.00005206872,0.0003567294,0.0005097454,0.000228646,0.000001199227,0.0001709804,0.4638184],"genre_scores_gemma":[0.9772208,0.0002866553,0.0001306201,0.000158324,0.0002294044,0.000007256102,0.00001854849,0.00001987819,0.02192854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8129656,"threshold_uncertainty_score":0.7070106,"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."}}