{"id":"W2522844534","doi":"10.1108/oir-02-2016-0038","title":"Echo or organic: framing the 2014 Sochi Games","year":2016,"lang":"en","type":"article","venue":"Online Information Review","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Newspaper; Framing (construction); Originality; Content analysis; Divergence (linguistics); Politics; Social media; Sociology; Convergence (economics); Thematic analysis; Value (mathematics); Media studies; Advertising; Computer science; Political science; Social science; Qualitative research; Linguistics; History; World Wide Web","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":[0.006042571,0.0004680674,0.0002852042,0.003884468,0.00230551,0.005629849,0.0006485886,0.0007465724,0.002827327],"category_scores_gemma":[0.01211107,0.0002126281,0.0001859027,0.003027451,0.004561017,0.00386935,0.003111767,0.0009505611,0.000270834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003834501,"about_ca_system_score_gemma":0.003265359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008916241,"about_ca_topic_score_gemma":0.02656029,"domain_scores_codex":[0.994665,0.003904716,0.0002005908,0.0002494908,0.0006569216,0.000323294],"domain_scores_gemma":[0.9928995,0.004786316,0.00116496,0.0001849296,0.000683664,0.0002806051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004306004,0.000136968,0.02569548,0.006441379,0.0001335013,0.001897851,0.6468583,0.0004092947,0.002796385,0.104568,0.01303259,0.1975996],"study_design_scores_gemma":[0.0000224302,0.0002187032,0.03707969,0.003572981,0.0001027427,0.0002686181,0.7271004,0.0002518164,0.000947602,0.004856193,0.2255433,0.00003546433],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196458,0.03095326,0.004144276,0.01478144,0.001849754,0.0004189335,0.0002500206,0.00003292067,0.2279236],"genre_scores_gemma":[0.9807139,0.01073143,0.0008713428,0.001163762,0.0003607851,0.0001663062,0.00009044258,0.00002340433,0.005878567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008916241,"threshold_uncertainty_score":0.03195655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052043547436132,"score_gpt":0.3538569337050315,"score_spread":0.3233364982306702,"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."}}