{"id":"W4388021902","doi":"10.1177/02690942231213590","title":"New notions of soft power: Impact rhetoric in mega-event bid documents","year":2023,"lang":"en","type":"article","venue":"Local Economy The Journal of the Local Economy Policy Unit","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bidding; Economic impact analysis; Soft power; Power (physics); Rhetoric; Interpretation (philosophy); Social impact; Business; Economics; Public relations; Political science; Politics; Sociology; Marketing; Computer science; Microeconomics; Law; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391994,0.0002627312,0.0005863692,0.0006161932,0.0003348505,0.00008384115,0.001378007,0.0001654028,0.0007869853],"category_scores_gemma":[0.0002999344,0.000169446,0.0005683211,0.001402494,0.0004910952,0.0007308713,0.000184282,0.0005415802,0.0001290223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000989538,"about_ca_system_score_gemma":0.003021002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01336126,"about_ca_topic_score_gemma":0.003964118,"domain_scores_codex":[0.9973961,0.0003500005,0.001104687,0.0001606365,0.0002282812,0.0007602794],"domain_scores_gemma":[0.9974762,0.0005044818,0.0009344783,0.000429366,0.0001240729,0.0005314024],"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":[0.001239049,0.001002503,0.02908246,0.0001047556,0.001870845,0.00006378026,0.04327114,0.3287713,0.00006325109,0.3527159,0.1000324,0.1417825],"study_design_scores_gemma":[0.002815583,0.0004773862,0.02121328,0.0002084283,0.0001474294,0.0000679814,0.005291863,0.001097248,0.0003216481,0.08453867,0.8833485,0.0004719556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8710333,0.0003605429,0.005030415,0.03926116,0.001554854,0.0008713397,0.00002688166,0.00005402782,0.08180755],"genre_scores_gemma":[0.9943212,0.0001390979,0.00001994264,0.00088041,0.0006201096,0.000004011119,0.000001484195,0.0000260216,0.003987688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7833161,"threshold_uncertainty_score":0.9932088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620038245785997,"score_gpt":0.3397712137426948,"score_spread":0.3135708312848348,"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."}}