{"id":"W2793283539","doi":"","title":"Where Mega meets Modest: community events and the making of Canadian national identity","year":2016,"lang":"en","type":"book-chapter","venue":"WestminsterResearch (University of Westminster)","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mega-; Identity (music); Political science; Genealogy; Gender studies; Sociology; History; Art; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001749408,0.0006289684,0.0004326199,0.002145121,0.03273776,0.01855309,0.001869688,0.002452218,0.02131045],"category_scores_gemma":[0.00344776,0.0004023055,0.0002471395,0.00519913,0.02282611,0.005337977,0.005325669,0.004178478,0.001149536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1212865,"about_ca_system_score_gemma":0.1606507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865724,"about_ca_topic_score_gemma":0.9962864,"domain_scores_codex":[0.9976997,0.0003750148,0.00002851381,0.0001892561,0.0007187027,0.000988781],"domain_scores_gemma":[0.9989057,0.0001878549,0.00003653006,0.00005454166,0.000323771,0.0004916267],"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":[0.00002343121,0.00001745917,0.001013919,0.0000666811,0.000005596686,0.0001220777,0.1149866,0.0001399967,0.00006762984,0.7437567,0.09327976,0.04652017],"study_design_scores_gemma":[0.00000537289,0.000005890822,0.004433616,0.0003328305,0.000009641476,0.00004920617,0.1709205,0.000109966,0.00008099337,0.05586584,0.7681518,0.00003446994],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02338661,0.009100454,0.0007999518,0.03193823,0.0008254213,0.00003924465,0.0001920181,0.0000342391,0.9336839],"genre_scores_gemma":[0.682754,0.01104554,0.001312666,0.003293979,0.0001946278,0.00005734748,0.0002132702,0.0001388857,0.3009898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1212865,"threshold_uncertainty_score":0.8799992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09825375596031322,"score_gpt":0.3206846795703446,"score_spread":0.2224309236100314,"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."}}